id
stringlengths 4
8
| tokens
listlengths 4
170
| labels
listlengths 4
170
| template_name
stringclasses 6
values | template
stringclasses 6
values | rendered_input
stringlengths 74
1.45k
| rendered_output
stringlengths 0
538
|
|---|---|---|---|---|---|---|
TR-13923
|
[
"A",
"series",
"of",
"experiments",
"demonstrated",
"that",
"neurons",
"in",
"the",
"human",
"medial",
"temporal",
"lobe",
"(",
"MTL",
")",
"fire",
"selectively",
"to",
"images",
"of",
"faces",
",",
"animals",
",",
"and",
"other",
"objects",
"or",
"scenes",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: A series of experiments demonstrated that neurons in the human medial temporal lobe ( MTL ) fire selectively to images of faces , animals , and other objects or scenes .
|
medial temporal lobe
|
TR-13924
|
[
"We",
"process",
"simulated",
"raw",
"images",
"using",
"a",
"configurable",
",",
"industry",
"-",
"grade",
",",
"high",
"dynamic",
"range",
"(",
"HDR",
")",
"ISP",
"to",
"generate",
"RGB",
"images",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
1,
4,
4,
1,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We process simulated raw images using a configurable , industry - grade , high dynamic range ( HDR ) ISP to generate RGB images .
|
high dynamic range
|
TR-13925
|
[
"We",
"begin",
"by",
"introducing",
"another",
"important",
"concept",
"in",
"the",
"RIP",
"framework",
"-",
"restricted",
"orthogonal",
"constants",
"(",
"ROC",
")",
"proposed",
"in",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We begin by introducing another important concept in the RIP framework - restricted orthogonal constants ( ROC ) proposed in .
|
restricted orthogonal constants
|
TR-13926
|
[
"We",
"report",
"average",
"precision",
"(",
"AP",
")",
"with",
"IoU",
"(",
"Intersection",
"over",
"Union",
")",
"thresholds",
"at",
"0.5",
"and",
"0.7",
"."
] |
[
4,
4,
0,
2,
4,
1,
4,
4,
1,
4,
0,
2,
2,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We report average precision ( AP ) with IoU ( Intersection over Union ) thresholds at 0.5 and 0.7 .
|
average precision, Intersection over Union
|
TR-13927
|
[
"Considering",
"the",
"computational",
"requirements",
",",
"several",
"muti",
"-",
"view",
"methods",
"using",
"the",
"augmented",
"state",
"technique",
"for",
"navigation",
"aiding",
"have",
"been",
"already",
"proposed",
",",
"which",
"is",
"an",
"approach",
"commonly",
"referred",
"to",
"as",
"simultaneous",
"localization",
"and",
"mapping",
"(",
"SLAM",
")",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Considering the computational requirements , several muti - view methods using the augmented state technique for navigation aiding have been already proposed , which is an approach commonly referred to as simultaneous localization and mapping ( SLAM ) .
|
simultaneous localization and mapping
|
TR-13928
|
[
"Traditionally",
",",
"crop",
"statistics",
"data",
"are",
"produced",
"by",
"national",
"statistical",
"offices",
"(",
"NSO",
")",
"using",
"adequate",
"sampling",
"strategies",
"and",
"statistical",
"inference",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Traditionally , crop statistics data are produced by national statistical offices ( NSO ) using adequate sampling strategies and statistical inference .
|
national statistical offices
|
TR-13929
|
[
"We",
"define",
"the",
"Coupling",
"Between",
"Microservice",
"(",
"CBM",
")",
"extending",
"the",
"well",
"-",
"known",
"Coupling",
"Between",
"Object",
"(",
"CBO",
")",
"metric",
"proposed",
"by",
"Chidamber",
"and",
"Kemerer",
"Chidamber1994",
"."
] |
[
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We define the Coupling Between Microservice ( CBM ) extending the well - known Coupling Between Object ( CBO ) metric proposed by Chidamber and Kemerer Chidamber1994 .
|
Coupling Between Microservice, Coupling Between Object
|
TR-13930
|
[
"We",
"employ",
"catSeq",
"model",
"for",
"the",
"generation",
"process",
",",
"which",
"uses",
"an",
"encoder",
"-",
"decoder",
"framework",
":",
"the",
"encoder",
"being",
"a",
"bidirectional",
"Gated",
"Recurrent",
"Unit",
"(",
"bi",
"-",
"GRU",
")",
"and",
"the",
"decoder",
"a",
"forward",
"GRU",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
4,
1,
3,
3,
4,
4,
4,
4,
4,
4,
1,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We employ catSeq model for the generation process , which uses an encoder - decoder framework : the encoder being a bidirectional Gated Recurrent Unit ( bi - GRU ) and the decoder a forward GRU .
|
bidirectional Gated Recurrent Unit
|
TR-13931
|
[
"In",
"the",
"following",
"sections",
",",
"we",
"introduce",
"an",
"artifact",
"disentanglement",
"network",
"(",
"ADN",
")",
"that",
"learns",
"these",
"encodings",
"and",
"decodings",
"without",
"paired",
"data",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: In the following sections , we introduce an artifact disentanglement network ( ADN ) that learns these encodings and decodings without paired data .
|
artifact disentanglement network
|
TR-13932
|
[
"-",
"From",
"a",
"practical",
"perspective",
",",
"it",
"is",
"desirable",
"to",
"have",
"consistent",
"embeddings",
"for",
"the",
"same",
"input",
"graph",
"irrespective",
"of",
"the",
"order",
"in",
"which",
"the",
"nodes",
"are",
"processed",
"or",
"whether",
"their",
"IDs",
"are",
"modified",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: - From a practical perspective , it is desirable to have consistent embeddings for the same input graph irrespective of the order in which the nodes are processed or whether their IDs are modified .
|
No expansions found
|
TR-13933
|
[
"The",
"research",
"leading",
"to",
"these",
"results",
"has",
"received",
"funding",
"from",
"the",
"European",
"Research",
"Council",
"under",
"the",
"European",
"Union",
"'s",
"Seventh",
"Framework",
"Programme",
"(",
"FP7/2007",
"-",
"2013",
")",
"ERC",
"grant",
"agreement",
"no",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: The research leading to these results has received funding from the European Research Council under the European Union 's Seventh Framework Programme ( FP7/2007 - 2013 ) ERC grant agreement no .
|
European Research Council
|
TR-13934
|
[
"For",
"two",
"subqueries",
"and",
",",
"where",
",",
"may",
"be",
"related",
"to",
"in",
"one",
"of",
"the",
"following",
"relationship",
"types",
"OO",
",",
"PP",
",",
"SS",
",",
"OP",
",",
"OS",
",",
"PS",
",",
"PO",
",",
"SP",
",",
"SO",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
1,
4,
1,
4,
1,
4,
1,
4,
1,
4,
1,
4,
1,
4,
1,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: For two subqueries and , where , may be related to in one of the following relationship types OO , PP , SS , OP , OS , PS , PO , SP , SO .
|
No expansions found
|
TR-13935
|
[
"We",
"divide",
"the",
"DP",
"generation",
"task",
"into",
"two",
"phases",
":",
"DP",
"detection",
"(",
"from",
"which",
"position",
"a",
"pronoun",
"is",
"dropped",
")",
",",
"and",
"DP",
"prediction",
"(",
"which",
"pronoun",
"is",
"dropped",
")",
"."
] |
[
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We divide the DP generation task into two phases : DP detection ( from which position a pronoun is dropped ) , and DP prediction ( which pronoun is dropped ) .
|
No expansions found
|
TR-13936
|
[
"For",
"denoising",
"with",
"deep",
"learning",
",",
"often",
"a",
"Mean",
"Square",
"Error",
"(",
"MSE",
")",
"is",
"used",
"as",
"a",
"loss",
"function",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: For denoising with deep learning , often a Mean Square Error ( MSE ) is used as a loss function .
|
Mean Square Error
|
TR-13937
|
[
"One",
"of",
"the",
"main",
"reasons",
"for",
"creating",
"Aadhaar",
"as",
"a",
"huge",
"Social",
"Identification",
"System",
"(",
"SIS",
")",
"had",
"been",
"to",
"prevent",
"massive",
"leakages",
"and",
"large",
"scale",
"fraudulent",
"transactions",
"in",
"implementation",
"of",
"targeted",
"delivery",
"of",
"subsidies",
"for",
"the",
"poor",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: One of the main reasons for creating Aadhaar as a huge Social Identification System ( SIS ) had been to prevent massive leakages and large scale fraudulent transactions in implementation of targeted delivery of subsidies for the poor .
|
Social Identification System
|
TR-13938
|
[
"Third",
",",
"Simple",
"Neural",
"AttentIve",
"Learner",
"(",
"SNAIL",
")",
"extends",
"the",
"idea",
"behind",
"Learning",
"to",
"reinforcement",
"learn",
"and",
"RL",
"by",
"using",
"a",
"more",
"powerful",
"temporal",
"-",
"focused",
"model",
"than",
"the",
"simple",
"RNN",
"."
] |
[
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Third , Simple Neural AttentIve Learner ( SNAIL ) extends the idea behind Learning to reinforcement learn and RL by using a more powerful temporal - focused model than the simple RNN .
|
Simple Neural AttentIve Learner, reinforcement learn
|
TR-13939
|
[
"Hidden",
"Markov",
"Models",
"on",
"Dynamic",
"Features",
"The",
"method",
"denoted",
"as",
"is",
"a",
"direct",
"application",
"of",
"HMM",
"to",
"sequential",
"data",
"."
] |
[
0,
2,
2,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Hidden Markov Models on Dynamic Features The method denoted as is a direct application of HMM to sequential data .
|
Hidden Markov Models
|
TR-13940
|
[
"Sidestream",
"Dark",
"Field",
"(",
"SDF",
")",
"imaging",
":",
"a",
"novel",
"stroboscopic",
"LED",
"ring",
"-",
"based",
"imaging",
"modality",
"for",
"clinical",
"assessment",
"of",
"the",
"microcirculation",
"."
] |
[
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Sidestream Dark Field ( SDF ) imaging : a novel stroboscopic LED ring - based imaging modality for clinical assessment of the microcirculation .
|
Sidestream Dark Field
|
TR-13941
|
[
"Performance",
"is",
"evaluated",
"using",
"the",
"eer",
"and",
"the",
"minimum",
"Decision",
"Cost",
"Function",
"(",
"DCF",
")",
"calculated",
"using",
",",
",",
"and",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Performance is evaluated using the eer and the minimum Decision Cost Function ( DCF ) calculated using , , and .
|
Decision Cost Function
|
TR-13942
|
[
"We",
"plot",
"the",
"median",
"recovery",
"error",
"(",
"MRE",
")",
"for",
"100",
"iterations",
"."
] |
[
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We plot the median recovery error ( MRE ) for 100 iterations .
|
median recovery error
|
TR-13943
|
[
"When",
"computing",
"the",
"Point",
"Cloud",
"(",
"PC",
")",
"from",
"the",
"images",
"of",
"the",
"colour",
"cameras",
",",
"we",
"have",
"been",
"obtaining",
"reconstructions",
"of",
"the",
"intersections",
"displaced",
"from",
"the",
"correct",
"positions",
"."
] |
[
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: When computing the Point Cloud ( PC ) from the images of the colour cameras , we have been obtaining reconstructions of the intersections displaced from the correct positions .
|
Point Cloud
|
TR-13944
|
[
"We",
"introduce",
"surrogate",
"probability",
"action",
"and",
"develop",
"the",
"probability",
"surrogate",
"action",
"deterministic",
"policy",
"gradient",
"(",
"PSADPG",
")",
"algorithm",
"based",
"on",
"SAEI",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
2,
2,
4,
1,
4,
4,
4,
4,
1,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We introduce surrogate probability action and develop the probability surrogate action deterministic policy gradient ( PSADPG ) algorithm based on SAEI .
|
probability surrogate action deterministic policy gradient
|
TR-13945
|
[
"We",
"thus",
"evaluate",
"weighted",
"coverage",
"(",
"Cov",
")",
",",
"average",
"precision",
"(",
"AP",
")",
"as",
"well",
"as",
"instance",
"level",
"precision",
"and",
"recall",
"at",
"."
] |
[
4,
4,
4,
4,
0,
4,
1,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We thus evaluate weighted coverage ( Cov ) , average precision ( AP ) as well as instance level precision and recall at .
|
coverage, average precision
|
TR-13946
|
[
"In",
"addition",
",",
"the",
"adaptive",
"adversarial",
"loss",
"is",
"designed",
"to",
"force",
"the",
"refiner",
"to",
"pay",
"more",
"attention",
"to",
"the",
"prediction",
"of",
"the",
"myelin",
"content",
"in",
"MS",
"lesions",
"and",
"normal",
"appearing",
"white",
"matter",
"(",
"NAWM",
")",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: In addition , the adaptive adversarial loss is designed to force the refiner to pay more attention to the prediction of the myelin content in MS lesions and normal appearing white matter ( NAWM ) .
|
normal appearing white matter
|
TR-13947
|
[
"Similarly",
",",
"a",
"stringset",
"is",
"Piecewise",
"-Testable",
"(",
"PT",
")",
"iff",
"for",
"all",
",",
"it",
"is",
"the",
"case",
"that",
"if",
"then",
"either",
"or",
"."
] |
[
4,
4,
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Similarly , a stringset is Piecewise -Testable ( PT ) iff for all , it is the case that if then either or .
|
Piecewise -Testable
|
TR-13948
|
[
"In",
",",
"an",
"FD",
"device",
"-",
"to",
"-",
"device",
"aided",
"cooperative",
"NOMA",
"scheme",
"was",
"proposed",
"where",
"the",
"near",
"user",
"is",
"FD",
"capable",
"and",
"assist",
"the",
"base",
"station",
"(",
"BS",
")",
"transmissions",
"to",
"the",
"far",
"user",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: In , an FD device - to - device aided cooperative NOMA scheme was proposed where the near user is FD capable and assist the base station ( BS ) transmissions to the far user .
|
base station
|
TR-13949
|
[
"On",
"similar",
"lines",
",",
"a",
"phase",
"response",
"curve",
"(",
"PRC",
")",
"based",
"technique",
"effectively",
"helps",
"to",
"manoeuvre",
"an",
"ensemble",
"of",
"TCLs",
"by",
"using",
"a",
"control",
"input",
"to",
"modulate",
"duty",
"cycles",
"as",
"well",
"as",
"induce",
"delay",
"/",
"advance",
"and",
"thereby",
"changing",
"the",
"set",
"point",
"temperature",
"."
] |
[
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: On similar lines , a phase response curve ( PRC ) based technique effectively helps to manoeuvre an ensemble of TCLs by using a control input to modulate duty cycles as well as induce delay / advance and thereby changing the set point temperature .
|
phase response curve
|
TR-13950
|
[
"shows",
"the",
"correctness",
"of",
"the",
"DS",
"labels",
"on",
"the",
"dev",
"set",
"."
] |
[
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: shows the correctness of the DS labels on the dev set .
|
No expansions found
|
TR-13951
|
[
"The",
"curves",
"of",
"CO2",
"density",
"and",
"passenger",
"flow",
"for",
"a",
"station",
"in",
"Aug.",
"30",
"(",
"a",
"working",
"day",
")",
"and",
"Aug.31",
"(",
"a",
"weekend",
")",
"are",
"plotted",
"in",
"Fig",
"..",
"The",
"curves",
"of",
"the",
"CO2",
"variations",
"and",
"the",
"passenger",
"flows",
"show",
"similar",
"trends",
"at",
"corresponding",
"time",
"."
] |
[
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: The curves of CO2 density and passenger flow for a station in Aug. 30 ( a working day ) and Aug.31 ( a weekend ) are plotted in Fig .. The curves of the CO2 variations and the passenger flows show similar trends at corresponding time .
|
No expansions found
|
TR-13952
|
[
"Illustrating",
"this",
"last",
"point",
",",
"IN4",
"says",
",",
"\"",
"I",
"asked",
"my",
"friends",
"...",
"I",
"came",
"across",
"2",
"or",
"3",
"friends",
",",
"they",
"told",
"me",
"that",
"their",
"...",
"accounts",
"had",
"been",
"hacked",
"...",
"So",
",",
"I",
"thought",
",",
"ok",
"it",
"'s",
"not",
"just",
"me",
".",
"\""
] |
[
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Illustrating this last point , IN4 says , " I asked my friends ... I came across 2 or 3 friends , they told me that their ... accounts had been hacked ... So , I thought , ok it 's not just me . "
|
No expansions found
|
TR-13953
|
[
"Such",
"a",
"trend",
"towards",
"decentralization",
"reduces",
"the",
"amount",
"of",
"data",
"that",
"is",
"transferred",
"to",
"the",
"cloud",
"for",
"processing",
"and",
"analysis",
",",
"and",
"can",
"also",
"be",
"instrumental",
"to",
"improve",
"security",
"and",
"privacy",
"of",
"the",
"managed",
"data",
",",
"a",
"major",
"concern",
"in",
"the",
"IoT",
"scenario",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Such a trend towards decentralization reduces the amount of data that is transferred to the cloud for processing and analysis , and can also be instrumental to improve security and privacy of the managed data , a major concern in the IoT scenario .
|
No expansions found
|
TR-13954
|
[
"Although",
"a",
"CI",
"user",
"can",
"understand",
"a",
"good",
"percentage",
"of",
"speech",
"(",
"around",
"30",
")",
"by",
"the",
"movement",
"of",
"the",
"lips",
",",
"this",
"study",
"is",
"interested",
"to",
"analyze",
"how",
"well",
"a",
"CI",
"-",
"user",
"can",
"identify",
"a",
"distant",
"speaker",
"which",
"include",
"voice",
"from",
"a",
"radio",
"or",
"someone",
"over",
"the",
"phone",
"."
] |
[
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Although a CI user can understand a good percentage of speech ( around 30 ) by the movement of the lips , this study is interested to analyze how well a CI - user can identify a distant speaker which include voice from a radio or someone over the phone .
|
No expansions found
|
TR-13955
|
[
"To",
"address",
"this",
"problem",
"of",
"information",
"efficiency",
",",
"ensembles",
"of",
"conformal",
"predictors",
"were",
"introduced",
"such",
"as",
"Cross",
"Conformal",
"Prediction",
"(",
"CCP",
")",
"vovk2015cross",
",",
"papadopoulos2015cross",
",",
"Aggregated",
"Conformal",
"Prediction",
"(",
"ACP",
")",
"carlsson2014aggregated",
",",
"Combination",
"of",
"inductive",
"mondrian",
"conformal",
"predictors",
"toccaceli2018combination",
"etc",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: To address this problem of information efficiency , ensembles of conformal predictors were introduced such as Cross Conformal Prediction ( CCP ) vovk2015cross , papadopoulos2015cross , Aggregated Conformal Prediction ( ACP ) carlsson2014aggregated , Combination of inductive mondrian conformal predictors toccaceli2018combination etc .
|
Cross Conformal Prediction, Aggregated Conformal Prediction
|
TR-13956
|
[
"As",
"an",
"alternative",
"to",
"DeGroot",
"'s",
"model",
",",
"the",
"Bounded",
"Confidence",
"(",
"BC",
")",
"model",
"introduced",
"in",
"provides",
"agents",
"with",
"a",
"confidence",
"measure",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: As an alternative to DeGroot 's model , the Bounded Confidence ( BC ) model introduced in provides agents with a confidence measure .
|
Bounded Confidence
|
TR-13957
|
[
"Furthermore",
",",
"the",
"sparse",
"Bayesian",
"learning",
"algorithms",
"using",
"automatic",
"relevance",
"determination",
"(",
"ARD",
")",
"also",
"have",
"been",
"applied",
"for",
"different",
"applications",
",",
"e.g.",
"regression",
"and",
"classification",
"DBLP",
":",
"journals",
"/",
"corr",
"/",
"abs-1301",
"-",
"3838",
",",
"tipping2001sparse",
",",
"signal",
"denoising",
"Zhang2008SignalDA",
",",
"neural",
"architecture",
"search",
"zhou2019bayesnas",
"and",
"pattern",
"recognition",
"BayesRecognition",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Furthermore , the sparse Bayesian learning algorithms using automatic relevance determination ( ARD ) also have been applied for different applications , e.g. regression and classification DBLP : journals / corr / abs-1301 - 3838 , tipping2001sparse , signal denoising Zhang2008SignalDA , neural architecture search zhou2019bayesnas and pattern recognition BayesRecognition .
|
automatic relevance determination
|
TR-13958
|
[
"In",
"the",
"unpopulated",
"airspace",
",",
"the",
"flight",
"phase",
"is",
"en",
"-",
"route",
",",
"but",
"the",
"data",
"links",
"are",
"restricted",
"to",
"LOS",
"A2A",
"and",
"A2S",
"propagation",
",",
"owing",
"to",
"the",
"absence",
"of",
"ground",
"stations",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
3,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: In the unpopulated airspace , the flight phase is en - route , but the data links are restricted to LOS A2A and A2S propagation , owing to the absence of ground stations .
|
No expansions found
|
TR-13959
|
[
"of",
"IEEE",
"High",
"Assurance",
"Systems",
"Engineering",
"Symposium",
"(",
"HASE",
")",
"."
] |
[
4,
1,
0,
2,
2,
2,
4,
4,
1,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: of IEEE High Assurance Systems Engineering Symposium ( HASE ) .
|
High Assurance Systems Engineering
|
TR-13960
|
[
"This",
"strategy",
"allows",
"one",
"to",
"define",
"dynamic",
"versions",
"of",
"various",
"indices",
",",
"like",
"the",
"NMI",
"and",
"the",
"VI",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
1,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: This strategy allows one to define dynamic versions of various indices , like the NMI and the VI .
|
No expansions found
|
TR-13961
|
[
"For",
"example",
",",
"replacing",
"GI",
"with",
"FI",
",",
"the",
"Boolean",
"formula",
"isomorphism",
"problem",
",",
"and",
"an",
"-complete",
"property",
"on",
"GI",
"with",
"a",
"-complete",
"property",
"on",
"FI",
"yields",
"a",
"-complete",
"equivalence",
"relation",
"."
] |
[
4,
4,
4,
4,
1,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: For example , replacing GI with FI , the Boolean formula isomorphism problem , and an -complete property on GI with a -complete property on FI yields a -complete equivalence relation .
|
No expansions found
|
TR-13962
|
[
"This",
"combination",
"of",
"TF",
"and",
"IDF",
"is",
"well",
"known",
"as",
"Term",
"Frequency",
"-",
"Inverse",
"document",
"frequency",
"(",
"TF",
"-",
"IDF",
")",
"."
] |
[
4,
4,
4,
1,
4,
1,
4,
4,
4,
4,
0,
2,
4,
0,
2,
2,
4,
1,
4,
1,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: This combination of TF and IDF is well known as Term Frequency - Inverse document frequency ( TF - IDF ) .
|
Term Frequency, Inverse document frequency
|
TR-13963
|
[
"In",
",",
"the",
"question",
"is",
"encoded",
"by",
"Gated",
"Recurrent",
"Unit",
"(",
"GRU",
")",
"similar",
"to",
"LSTM",
"and",
"the",
"authors",
"also",
"introduce",
"a",
"dynamic",
"parameter",
"layer",
"in",
"CNN",
"whose",
"weights",
"are",
"adaptively",
"predicted",
"by",
"the",
"encoded",
"question",
"feature",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: In , the question is encoded by Gated Recurrent Unit ( GRU ) similar to LSTM and the authors also introduce a dynamic parameter layer in CNN whose weights are adaptively predicted by the encoded question feature .
|
Gated Recurrent Unit
|
TR-13964
|
[
"The",
"LM",
"-",
"LSTM",
"-",
"CRF",
"which",
"contains",
"character",
"level",
"language",
"model",
"is",
"even",
"worse",
"(",
"shown",
"as",
"w/",
"LM",
"in",
"table",
",",
"with",
"different",
"character",
"level",
"hidden",
"size",
")",
"."
] |
[
4,
1,
4,
1,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: The LM - LSTM - CRF which contains character level language model is even worse ( shown as w/ LM in table , with different character level hidden size ) .
|
No expansions found
|
TR-13965
|
[
"After",
"iterative",
"back",
"translation",
"(",
"BT",
")",
"and",
"knowledge",
"distillation",
"(",
"KD",
")",
",",
"as",
"well",
"as",
"re",
"-",
"ranking",
",",
"our",
"system",
"achieves",
"30.8",
"and",
"30.9",
"BLEU",
"points",
"on",
"newstest2017",
"and",
"newstest2018",
"respectively",
"."
] |
[
4,
4,
0,
2,
4,
1,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: After iterative back translation ( BT ) and knowledge distillation ( KD ) , as well as re - ranking , our system achieves 30.8 and 30.9 BLEU points on newstest2017 and newstest2018 respectively .
|
back translation, knowledge distillation
|
TR-13966
|
[
"Besides",
",",
"we",
"used",
"the",
"QGroundControl",
"ground",
"station",
",",
"which",
"is",
"an",
"open",
"source",
"ground",
"control",
"station",
"(",
"GCS",
")",
"software",
"application",
"developed",
"by",
"Lorenz",
"Meier",
"and",
"written",
"in",
"C++",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Besides , we used the QGroundControl ground station , which is an open source ground control station ( GCS ) software application developed by Lorenz Meier and written in C++ .
|
ground control station
|
TR-13967
|
[
"It",
"has",
"two",
"modes",
"of",
"communication",
",",
"direct",
"remote",
"memory",
"access",
"(",
"DRMA",
")",
"and",
"bulk",
"synchronous",
"message",
"passing",
"(",
"BSMP",
")",
"approach",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: It has two modes of communication , direct remote memory access ( DRMA ) and bulk synchronous message passing ( BSMP ) approach .
|
direct remote memory access, bulk synchronous message passing
|
TR-13968
|
[
"Classification",
"accuracy",
"(",
"CA",
")",
"was",
"used",
"as",
"the",
"performance",
"metric",
"for",
"the",
"fire",
"identification",
"case",
",",
"while",
"Mean",
"Square",
"Error",
"(",
"MSE",
")",
"for",
"the",
"counting",
"houses",
"scenario",
"."
] |
[
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Classification accuracy ( CA ) was used as the performance metric for the fire identification case , while Mean Square Error ( MSE ) for the counting houses scenario .
|
Classification accuracy, Mean Square Error
|
TR-13969
|
[
"Therefore",
",",
"after",
"the",
"collision",
"time",
",",
"the",
"receiving",
"STAs",
"will",
"wait",
"for",
"an",
"Extended",
"Inter",
"Frame",
"Space",
"(",
"EIFS",
",",
"as",
"shown",
"in",
"Equation",
"(",
")",
")",
"interval",
"to",
"compete",
"for",
"the",
"channel",
"access",
"together",
"with",
"those",
"RTS",
"-",
"sending",
"STAs",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
1,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Therefore , after the collision time , the receiving STAs will wait for an Extended Inter Frame Space ( EIFS , as shown in Equation ( ) ) interval to compete for the channel access together with those RTS - sending STAs .
|
Extended Inter Frame Space
|
TR-13970
|
[
"One",
"of",
"them",
"is",
"proposed",
"in",
"for",
"Subtractive",
"Pixel",
"Adjacency",
"Matrix",
"(",
"SPAM",
")",
"feature",
"extraction",
"from",
"spatial",
"domain",
"of",
"the",
"digital",
"images",
"and",
"for",
"extracting",
"Cartesian",
"Calibrated",
"features",
"extracted",
"by",
"PEVny",
"(",
"CC",
"-",
"PEV",
")",
"features",
"from",
"transforming",
"domain",
"of",
"the",
"digital",
"images",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
2,
2,
4,
1,
3,
3,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: One of them is proposed in for Subtractive Pixel Adjacency Matrix ( SPAM ) feature extraction from spatial domain of the digital images and for extracting Cartesian Calibrated features extracted by PEVny ( CC - PEV ) features from transforming domain of the digital images .
|
Subtractive Pixel Adjacency Matrix, Cartesian Calibrated features extracted by PEVny
|
TR-13971
|
[
"To",
"test",
"the",
"ability",
"of",
"generating",
"knowledge",
"-",
"grounded",
"responses",
",",
"the",
"seventh",
"Dialog",
"System",
"Technology",
"Challenge",
"(",
"DSTC7",
")",
"proposed",
"a",
"benchmark",
"Reddit",
"dataset",
",",
"in",
"which",
"the",
"conversations",
"are",
"accompanied",
"with",
"a",
"link",
"to",
"an",
"external",
"webpage",
"that",
"may",
"contain",
"related",
"facts",
"and",
"knowledge",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: To test the ability of generating knowledge - grounded responses , the seventh Dialog System Technology Challenge ( DSTC7 ) proposed a benchmark Reddit dataset , in which the conversations are accompanied with a link to an external webpage that may contain related facts and knowledge .
|
seventh Dialog System Technology Challenge
|
TR-13972
|
[
"In",
"order",
"to",
"isolate",
"our",
"proposed",
"scheme",
"from",
"the",
"specific",
"implementation",
"of",
"a",
"SI",
"mitigation",
"technique",
",",
"since",
"the",
"SI",
"can",
"not",
"be",
"cancelled",
"perfectly",
"in",
"FD",
"systems",
"due",
"to",
"limited",
"dynamic",
"range",
"at",
"the",
"receiver",
"even",
"if",
"the",
"SI",
"channel",
"is",
"known",
"perfectly",
",",
"we",
"model",
"the",
"residual",
"SI",
"after",
"cancellation",
"as",
"as",
"in",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: In order to isolate our proposed scheme from the specific implementation of a SI mitigation technique , since the SI can not be cancelled perfectly in FD systems due to limited dynamic range at the receiver even if the SI channel is known perfectly , we model the residual SI after cancellation as as in .
|
No expansions found
|
TR-13973
|
[
"ACM",
"Press",
",",
"New",
"York",
",",
"NY",
",",
"USA",
"."
] |
[
1,
4,
4,
0,
2,
4,
1,
4,
1,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: ACM Press , New York , NY , USA .
|
New York
|
TR-13974
|
[
"The",
"results",
"of",
"the",
"top",
"systems",
"in",
"the",
"2017",
"ADI",
"Shared",
"Task",
"indicate",
"that",
"the",
"audio",
"features",
"produce",
"a",
"much",
"better",
"performance",
",",
"probably",
"because",
"there",
"are",
"many",
"ASR",
"errors",
"(",
"perhaps",
"more",
"in",
"the",
"dialectal",
"speech",
"segments",
")",
"that",
"make",
"Arabic",
"dialect",
"identification",
"from",
"ASR",
"transcripts",
"much",
"more",
"difficult",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: The results of the top systems in the 2017 ADI Shared Task indicate that the audio features produce a much better performance , probably because there are many ASR errors ( perhaps more in the dialectal speech segments ) that make Arabic dialect identification from ASR transcripts much more difficult .
|
Arabic dialect identification
|
TR-13975
|
[
"The",
"system",
"calculates",
"a",
"prediction",
"error",
"PE",
"by",
"comparing",
"the",
"image",
"predicted",
"by",
"the",
"forward",
"model",
"and",
"the",
"sensory",
"observation",
"captured",
"from",
"the",
"visual",
"input",
"after",
"the",
"execution",
"of",
"the",
"movement",
"."
] |
[
4,
4,
4,
4,
0,
2,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: The system calculates a prediction error PE by comparing the image predicted by the forward model and the sensory observation captured from the visual input after the execution of the movement .
|
prediction error
|
TR-13976
|
[
"In",
"particular",
",",
"our",
"class",
"of",
"CSPs",
"properly",
"contains",
"the",
"class",
"of",
"constraint",
"satisfaction",
"problems",
"over",
"finite",
"domains",
"."
] |
[
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
0,
2,
2,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: In particular , our class of CSPs properly contains the class of constraint satisfaction problems over finite domains .
|
constraint satisfaction problems
|
TR-13977
|
[
"Since",
"in",
"CSMA",
"/",
"ECA",
",",
"the",
"current",
"CW",
"is",
"derived",
"from",
"both",
"backoff",
"stage",
"and",
",",
"other",
"stations",
"can",
"compute",
"the",
"future",
"transmissions",
"of",
"the",
"transmitting",
"station",
"(",
"in",
"terms",
"of",
"time",
"slots",
")",
"to",
"avoid",
"future",
"'",
"predicted",
"'",
"collisions",
"with",
"their",
"own",
"transmissions",
"."
] |
[
4,
4,
1,
4,
1,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Since in CSMA / ECA , the current CW is derived from both backoff stage and , other stations can compute the future transmissions of the transmitting station ( in terms of time slots ) to avoid future ' predicted ' collisions with their own transmissions .
|
No expansions found
|
TR-13978
|
[
"The",
"author",
"used",
"the",
"following",
"features",
":",
"average",
"packets",
"per",
"flow",
",",
"average",
"bytes",
"per",
"flow",
",",
"number",
"of",
"flows",
"per",
"second",
",",
"average",
"duration",
"per",
"flow",
",",
"entropy",
"of",
"destination",
"IP",
"addresses",
"per",
"second",
",",
"entropy",
"of",
"source",
"IP",
"address",
"per",
"second",
"and",
"entropy",
"of",
"IP",
"protocol",
"per",
"second",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: The author used the following features : average packets per flow , average bytes per flow , number of flows per second , average duration per flow , entropy of destination IP addresses per second , entropy of source IP address per second and entropy of IP protocol per second .
|
No expansions found
|
TR-13979
|
[
"demonstrated",
"a",
"technique",
"for",
"allocating",
"Virtual",
"Machine",
"(",
"VM",
")",
"resources",
"based",
"on",
"CPU",
"and",
"memory",
",",
"albeit",
"limited",
"."
] |
[
4,
4,
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: demonstrated a technique for allocating Virtual Machine ( VM ) resources based on CPU and memory , albeit limited .
|
Virtual Machine
|
TR-13980
|
[
"(",
"last",
"column",
")",
"illustrates",
"the",
"nearest",
"neighbor",
"(",
"NN",
")",
"test",
",",
"where",
"is",
"the",
"training",
"dataset",
"NN",
"of",
"a",
"few",
"images",
"."
] |
[
4,
4,
4,
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: ( last column ) illustrates the nearest neighbor ( NN ) test , where is the training dataset NN of a few images .
|
nearest neighbor
|
TR-13981
|
[
"Note",
"that",
"there",
"are",
"other",
"variants",
"of",
"gated",
"recurrent",
"neural",
"networks",
",",
"such",
"as",
"Gated",
"Recurrent",
"Unit",
"(",
"GRU",
")",
"chung2015gated",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Note that there are other variants of gated recurrent neural networks , such as Gated Recurrent Unit ( GRU ) chung2015gated .
|
Gated Recurrent Unit
|
TR-13982
|
[
"For",
"signals",
"that",
"follow",
"a",
"single",
"Gaussian",
"model",
",",
"with",
"Gaussian",
"or",
"Bernoulli",
"sensing",
"matrices",
"of",
"measurements",
",",
"considerably",
"smaller",
"than",
"the",
"required",
"by",
"conventional",
"CS",
"based",
"on",
"sparse",
"models",
",",
"where",
"is",
"the",
"signal",
"dimension",
",",
"and",
"with",
"an",
"optimal",
"decoder",
"implemented",
"via",
"linear",
"filtering",
",",
"significantly",
"faster",
"than",
"the",
"pursuit",
"decoders",
"applied",
"in",
"conventional",
"CS",
",",
"the",
"error",
"of",
"SCS",
"is",
"shown",
"tightly",
"upper",
"bounded",
"by",
"a",
"constant",
"times",
"the",
"best",
"-term",
"approximation",
"error",
",",
"with",
"overwhelming",
"probability",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: For signals that follow a single Gaussian model , with Gaussian or Bernoulli sensing matrices of measurements , considerably smaller than the required by conventional CS based on sparse models , where is the signal dimension , and with an optimal decoder implemented via linear filtering , significantly faster than the pursuit decoders applied in conventional CS , the error of SCS is shown tightly upper bounded by a constant times the best -term approximation error , with overwhelming probability .
|
No expansions found
|
TR-13983
|
[
"Table",
"consists",
"of",
"the",
"root",
"mean",
"squared",
"(",
"RMS",
")",
"statistics",
"of",
"the",
"attitude",
"errors",
"in",
"Euler",
"angles",
"."
] |
[
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Table consists of the root mean squared ( RMS ) statistics of the attitude errors in Euler angles .
|
root mean squared
|
TR-13984
|
[
"author",
"propose",
"Universal",
"Language",
"Model",
"Fine",
"-",
"Tuning",
"for",
"Text",
"Classification",
"(",
"ULMFiT",
")",
"which",
"is",
"bi",
"-",
"LSTM",
"model",
"that",
"is",
"trained",
"on",
"a",
"general",
"language",
"modeling",
"(",
"LM",
")",
"task",
"and",
"then",
"fine",
"tuned",
"on",
"text",
"classification",
"."
] |
[
4,
4,
0,
2,
2,
2,
2,
2,
2,
2,
4,
4,
1,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: author propose Universal Language Model Fine - Tuning for Text Classification ( ULMFiT ) which is bi - LSTM model that is trained on a general language modeling ( LM ) task and then fine tuned on text classification .
|
Universal Language Model Fine - Tuning for Text, language modeling
|
TR-13985
|
[
"Each",
"report",
"consists",
"of",
"the",
"following",
"sections",
":",
"impression",
",",
"findings",
",",
"tags(There",
"are",
"two",
"types",
"of",
"tags",
":",
"manually",
"generated",
"(",
"MeSH",
")",
"and",
"Medical",
"Text",
"Indexer",
"(",
"MTI",
")",
"generated",
".",
")",
","
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Each report consists of the following sections : impression , findings , tags(There are two types of tags : manually generated ( MeSH ) and Medical Text Indexer ( MTI ) generated . ) ,
|
Medical Text Indexer
|
TR-13986
|
[
"Motion",
"History",
"Images",
"(",
"MHI",
")",
"from",
"videos",
"accumulate",
"foreground",
"regions",
"of",
"a",
"person",
"and",
"accounts",
"for",
"its",
"shape",
"and",
"stance",
"."
] |
[
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Motion History Images ( MHI ) from videos accumulate foreground regions of a person and accounts for its shape and stance .
|
Motion History Images
|
TR-13987
|
[
"Specifically",
",",
"in",
"Fog",
"-",
"RAN",
",",
"each",
"radio",
"access",
"unit",
"(",
"RAU",
")",
"hosts",
"storage",
"and",
"computation",
"entities",
",",
"thereby",
"pushing",
"data",
"and",
"its",
"processing",
"closer",
"to",
"end",
"users",
"."
] |
[
4,
4,
4,
1,
3,
3,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Specifically , in Fog - RAN , each radio access unit ( RAU ) hosts storage and computation entities , thereby pushing data and its processing closer to end users .
|
radio access unit
|
TR-13988
|
[
"Second",
",",
"Specify",
"VM",
"Parameters",
"as",
"image",
"size",
",",
"VM",
"memory",
"(",
"MB",
")",
",",
"number",
"of",
"CPUs",
"and",
"VMM",
"name",
"."
] |
[
4,
4,
4,
1,
4,
4,
4,
4,
4,
1,
4,
4,
1,
4,
4,
4,
4,
1,
4,
1,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Second , Specify VM Parameters as image size , VM memory ( MB ) , number of CPUs and VMM name .
|
No expansions found
|
TR-13989
|
[
"If",
"SR",
"adaptation",
"is",
"enabled",
",",
"the",
"spatial",
"resolution",
"of",
"the",
"decoded",
"video",
"frames",
"is",
"firstly",
"up",
"-",
"sampled",
"by",
"2",
"using",
"a",
"nearest",
"neighbour",
"filter",
"before",
"CNN",
"reconstruction(It",
"is",
"noted",
"that",
",",
"in",
"our",
"previous",
"work",
",",
"pre",
"-",
"CNN",
"up",
"-",
"sampling",
"was",
"conducted",
"using",
"a",
"Lanczos3",
"filter",
"."
] |
[
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: If SR adaptation is enabled , the spatial resolution of the decoded video frames is firstly up - sampled by 2 using a nearest neighbour filter before CNN reconstruction(It is noted that , in our previous work , pre - CNN up - sampling was conducted using a Lanczos3 filter .
|
No expansions found
|
TR-13990
|
[
"High",
"Resolution",
"Dataset",
":",
"We",
"construct",
"the",
"HR",
"dataset",
"by",
"combining",
"the",
"training",
"images",
"from",
"AFLW",
"and",
"the",
"entire",
"300W",
"dataset",
"."
] |
[
0,
2,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: High Resolution Dataset : We construct the HR dataset by combining the training images from AFLW and the entire 300W dataset .
|
High Resolution
|
TR-13991
|
[
"However",
",",
"recurrent",
"neural",
"network",
"language",
"model",
"(",
"RNNLM",
")",
"suffers",
"from",
"two",
"major",
"drawbacks",
"when",
"used",
"to",
"generate",
"text",
"."
] |
[
4,
4,
0,
2,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: However , recurrent neural network language model ( RNNLM ) suffers from two major drawbacks when used to generate text .
|
recurrent neural network language model
|
TR-13992
|
[
"The",
"spectral",
"library",
"is",
"constructed",
"using",
"K",
"-",
"means",
"method",
"to",
"cluster",
"the",
"endmembers",
"extracted",
"by",
"vertex",
"component",
"analysis",
"(",
"VCA",
")",
"from",
"a",
"collection",
"of",
"HSIs",
"into",
"a",
"set",
"of",
"clusters",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: The spectral library is constructed using K - means method to cluster the endmembers extracted by vertex component analysis ( VCA ) from a collection of HSIs into a set of clusters .
|
vertex component analysis
|
TR-13993
|
[
"Three",
"-",
"dimensional",
"within",
"-",
"IRT",
"factorization",
"vs",
"linear",
"factorization",
"of",
"Right",
"Wing",
"Authoritarianism",
"(",
"RWA",
")",
"scale",
"test",
"items",
",",
"colored",
"by",
"discrimination",
"weights",
"."
] |
[
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Three - dimensional within - IRT factorization vs linear factorization of Right Wing Authoritarianism ( RWA ) scale test items , colored by discrimination weights .
|
Right Wing Authoritarianism
|
TR-13994
|
[
"Recent",
"studies",
"also",
"demonstrated",
"the",
"chest",
"radiography",
"'s",
"application",
"on",
"detection",
"and",
"evaluation",
"of",
"coronary",
"artery",
"diseases",
",",
"which",
"are",
"usually",
"evaluated",
"using",
"Computed",
"Tomography",
"(",
"CT",
")",
"with",
"expensive",
"cost",
"and",
"high",
"radiation",
"dose",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Recent studies also demonstrated the chest radiography 's application on detection and evaluation of coronary artery diseases , which are usually evaluated using Computed Tomography ( CT ) with expensive cost and high radiation dose .
|
Computed Tomography
|
TR-13995
|
[
"Shared",
"dynamic",
"link",
"libraries",
"(",
"DLL",
")",
"do",
"allow",
"code",
"sharing",
"among",
"multiple",
"applications",
"."
] |
[
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Shared dynamic link libraries ( DLL ) do allow code sharing among multiple applications .
|
dynamic link libraries
|
TR-13996
|
[
"For",
"example",
",",
"what",
"does",
"the",
"Body",
"Mass",
"Index",
"(",
"BMI",
")",
"look",
"like",
"for",
"people",
"with",
"a",
"height",
"of",
"?"
] |
[
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: For example , what does the Body Mass Index ( BMI ) look like for people with a height of ?
|
Body Mass Index
|
TR-13997
|
[
"In",
"this",
"paper",
"we",
"present",
"the",
"Hierarchical",
"Document",
"Topic",
"Model",
"(",
"HDTM",
")",
",",
"which",
"uses",
"a",
"distributed",
"vertex",
"-",
"programming",
"process",
"to",
"calculate",
"a",
"nonparametric",
"Bayesian",
"generative",
"model",
"."
] |
[
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: In this paper we present the Hierarchical Document Topic Model ( HDTM ) , which uses a distributed vertex - programming process to calculate a nonparametric Bayesian generative model .
|
Hierarchical Document Topic Model
|
TR-13998
|
[
"To",
"do",
"so",
"we",
"need",
"the",
"maximum",
"a",
"posteriori",
"(",
"MAP",
")",
"estimate",
"(",
"equal",
"to",
"the",
"mode",
"of",
"the",
"posterior",
"distribution",
")",
"and",
"a",
"second",
"order",
"Taylor",
"expansion",
"around",
"this",
"mode",
"."
] |
[
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: To do so we need the maximum a posteriori ( MAP ) estimate ( equal to the mode of the posterior distribution ) and a second order Taylor expansion around this mode .
|
maximum a posteriori
|
TR-13999
|
[
"We",
"use",
"Noise",
"Contrastive",
"Estimation",
"(",
"NCE",
")",
",",
"which",
"allows",
"us",
"to",
"learn",
"a",
"model",
"that",
"provably",
"converges",
"to",
"its",
"objective",
"(",
"see",
",",
"Theorem",
"2",
")",
"."
] |
[
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We use Noise Contrastive Estimation ( NCE ) , which allows us to learn a model that provably converges to its objective ( see , Theorem 2 ) .
|
Noise Contrastive Estimation
|
TR-14000
|
[
"Typical",
"state",
"-",
"of",
"-",
"the",
"-",
"art",
"IR",
"approaches",
"integrate",
"a",
"speech",
"recognition",
"(",
"SR",
")",
"unit",
"directly",
"with",
"the",
"QA",
"system",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
1,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Typical state - of - the - art IR approaches integrate a speech recognition ( SR ) unit directly with the QA system .
|
speech recognition
|
TR-14001
|
[
"Electronic",
"Medical",
"Records",
"(",
"EMR",
")",
"are",
"used",
"in",
"medical",
"sector",
"in",
"various",
"ways",
"which",
"includes",
"easy",
"access",
"to",
"medical",
"record",
",",
"reduction",
"of",
"potential",
"medical",
"error",
",",
"appointments",
"and",
"billing",
"management",
"However",
",",
"there",
"are",
"obstacles",
"to",
"a",
"successful",
"adoption",
"of",
"electronic",
"records",
"and",
"to",
"the",
"transition",
"from",
"a",
"paper",
"-",
"based",
"paradigm",
"."
] |
[
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Electronic Medical Records ( EMR ) are used in medical sector in various ways which includes easy access to medical record , reduction of potential medical error , appointments and billing management However , there are obstacles to a successful adoption of electronic records and to the transition from a paper - based paradigm .
|
Electronic Medical Records
|
TR-14002
|
[
"taken",
"into",
"account",
"both",
"sparsity",
"and",
"locality",
",",
"and",
"upgraded",
"the",
"robustness",
"of",
"BB8",
"(",
"8",
"corners",
"of",
"the",
"bounding",
"box",
")",
"by",
"predicting",
"projection",
"heatmaps",
"from",
"random",
"local",
"patches",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
0,
2,
2,
2,
2,
2,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: taken into account both sparsity and locality , and upgraded the robustness of BB8 ( 8 corners of the bounding box ) by predicting projection heatmaps from random local patches .
|
8 corners of the bounding box
|
TR-14003
|
[
"Model",
"-",
"based",
",",
"Reflex",
"Agent",
"model",
"(",
"MRA",
"model",
")",
":",
"A",
"world",
"model",
"is",
"introduced",
"to",
"maintain",
"some",
"kind",
"of",
"structure",
",",
"which",
"describes",
"the",
"part",
"of",
"the",
"world",
"which",
"can",
"not",
"be",
"observed",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Model - based , Reflex Agent model ( MRA model ) : A world model is introduced to maintain some kind of structure , which describes the part of the world which can not be observed .
|
No expansions found
|
TR-14004
|
[
"Classification",
"performance",
"of",
"the",
"spectral",
"detector",
"and",
"three",
"deep",
"learning",
"(",
"DL",
")",
"models",
"evaluated",
"on",
"the",
"reference",
"data",
"set",
"containing",
"200",
"quiet",
"brakings",
",",
"200",
"squeals",
",",
"50",
"wirebrush",
"sounds",
",",
"25",
"click",
"sounds",
"and",
"15",
"broad",
"-",
"banded",
"artefacts",
"."
] |
[
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: Classification performance of the spectral detector and three deep learning ( DL ) models evaluated on the reference data set containing 200 quiet brakings , 200 squeals , 50 wirebrush sounds , 25 click sounds and 15 broad - banded artefacts .
|
deep learning
|
TR-14005
|
[
"We",
"also",
"compare",
"the",
"performance",
"of",
"MRC",
"cooperative",
"NOMA",
"with",
"MRC",
"cooperative",
"orthogonal",
"multiple",
"access",
"(",
"OMA",
")",
",",
"and",
"we",
"show",
"that",
"NOMA",
"has",
"a",
"better",
"performance",
"than",
"OMA",
"."
] |
[
4,
4,
4,
4,
4,
4,
1,
4,
1,
4,
1,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
1,
4
] |
list_expansions
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return {{"\"No expansions found\""}} if the expansions can't be found.
Tokens: {{tokens|join(' ')}}
|||
{% set abbr_string=namespace(value='') %}
{% set answer_list=namespace(value=[]) %}
{% for label_idx in range(labels|length) %}
{% if labels[label_idx] == 0 %}
{% set abbr_string.value = tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]==2%}
{% set abbr_string.value = abbr_string.value+' '+tokens[label_idx] %}
{% elif abbr_string.value!='' and labels[label_idx]!=2%}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% set abbr_string.value = '' %}
{% endif %}
{% if loop.last and abbr_string.value!='' %}
{% set answer_list.value = answer_list.value +[abbr_string.value] %}
{% endif %}
{% endfor %}
{% if answer_list.value|length!=0 %}
{{ answer_list.value|join(', ') }}
{% else %}
No expansions found
{% endif %}
|
List all the expansions (meanings) of the acronyms present in the following space-separated tokens. Return "No expansions found" if the expansions can't be found.
Tokens: We also compare the performance of MRC cooperative NOMA with MRC cooperative orthogonal multiple access ( OMA ) , and we show that NOMA has a better performance than OMA .
|
orthogonal multiple access
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.