Datasets:
tasksource
/
streusle

Dataset card Data Studio Files
xet
 Community
sentence1
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We would highly recommend Stephanie to anyone looking for a [TARGET] home [/TARGET] in the Yampa Valley .
n.ARTIFACT
{"id": "reviews-095040-0005:10", "lemma": "home", "part_of_speech": "n", "split_group_id": "reviews-095040", "token_indices": [10]}
We would highly recommend Stephanie to anyone looking for a home in the [TARGET] Yampa [/TARGET] [TARGET] Valley [/TARGET] .
n.LOCATION
{"id": "reviews-095040-0005:13,14", "lemma": "Yampa Valley", "part_of_speech": "n", "split_group_id": "reviews-095040", "token_indices": [13, 14]}
We [TARGET] appreciated [/TARGET] her patience , knowledge and kindness !
v.emotion
{"id": "reviews-095040-0006:1", "lemma": "appreciate", "part_of_speech": "v", "split_group_id": "reviews-095040", "token_indices": [1]}
We appreciated her [TARGET] patience [/TARGET] , knowledge and kindness !
n.ATTRIBUTE
{"id": "reviews-095040-0006:3", "lemma": "patience", "part_of_speech": "n", "split_group_id": "reviews-095040", "token_indices": [3]}
We appreciated her patience , [TARGET] knowledge [/TARGET] and kindness !
n.ATTRIBUTE
{"id": "reviews-095040-0006:5", "lemma": "knowledge", "part_of_speech": "n", "split_group_id": "reviews-095040", "token_indices": [5]}
We appreciated her patience , knowledge and [TARGET] kindness [/TARGET] !
n.ATTRIBUTE
{"id": "reviews-095040-0006:7", "lemma": "kindness", "part_of_speech": "n", "split_group_id": "reviews-095040", "token_indices": [7]}
GREAT [TARGET] SERVICE [/TARGET] AND PEOPLE !!
n.ACT
{"id": "reviews-095523-0001:1", "lemma": "service", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [1]}
GREAT SERVICE AND [TARGET] PEOPLE [/TARGET] !!
n.PERSON
{"id": "reviews-095523-0001:3", "lemma": "people", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [3]}
Deb Watson [TARGET] is [/TARGET] the contact person and she and the rest of the staff were great !!!
v.stative
{"id": "reviews-095523-0002:2", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [2]}
Deb Watson is the [TARGET] contact [/TARGET] person and she and the rest of the staff were great !!!
n.PERSON
{"id": "reviews-095523-0002:4", "lemma": "contact", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [4]}
Deb Watson is the contact [TARGET] person [/TARGET] and she and the rest of the staff were great !!!
n.PERSON
{"id": "reviews-095523-0002:5", "lemma": "person", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [5]}
Deb Watson is the contact person and she and the [TARGET] rest [/TARGET] of the staff were great !!!
n.GROUP
{"id": "reviews-095523-0002:10", "lemma": "rest", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [10]}
Deb Watson is the contact person and she and the rest of the [TARGET] staff [/TARGET] were great !!!
n.GROUP
{"id": "reviews-095523-0002:13", "lemma": "staff", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [13]}
Deb Watson is the contact person and she and the rest of the staff [TARGET] were [/TARGET] great !!!
v.stative
{"id": "reviews-095523-0002:14", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [14]}
[TARGET] Deb [/TARGET] [TARGET] Watson [/TARGET] is the contact person and she and the rest of the staff were great !!!
n.PERSON
{"id": "reviews-095523-0002:0,1", "lemma": "Deb Watson", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [0, 1]}
She [TARGET] continues [/TARGET] to help me when needed even if I have a service question .
v.stative
{"id": "reviews-095523-0003:1", "lemma": "continue", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [1]}
She continues to [TARGET] help [/TARGET] me when needed even if I have a service question .
v.social
{"id": "reviews-095523-0003:3", "lemma": "help", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [3]}
She continues to help me when [TARGET] needed [/TARGET] even if I have a service question .
v.cognition
{"id": "reviews-095523-0003:6", "lemma": "need", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [6]}
She continues to help me when needed even if I [TARGET] have [/TARGET] a service question .
v.stative
{"id": "reviews-095523-0003:10", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [10]}
She continues to help me when needed even if I have a [TARGET] service [/TARGET] question .
n.ACT
{"id": "reviews-095523-0003:12", "lemma": "service", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [12]}
She continues to help me when needed even if I have a service [TARGET] question [/TARGET] .
n.COMMUNICATION
{"id": "reviews-095523-0003:13", "lemma": "question", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [13]}
Since I [TARGET] 'm [/TARGET] usually at work late Deb has stayed around to help me out when needed .
v.stative
{"id": "reviews-095523-0004:2", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [2]}
Since I 'm usually at [TARGET] work [/TARGET] late Deb has stayed around to help me out when needed .
n.ACT
{"id": "reviews-095523-0004:5", "lemma": "work", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [5]}
Since I 'm usually at work late [TARGET] Deb [/TARGET] has stayed around to help me out when needed .
n.PERSON
{"id": "reviews-095523-0004:7", "lemma": "Deb", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [7]}
Since I 'm usually at work late Deb has [TARGET] stayed [/TARGET] around to help me out when needed .
v.motion
{"id": "reviews-095523-0004:9", "lemma": "stay", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [9]}
Since I 'm usually at work late Deb has stayed around to help me out when [TARGET] needed [/TARGET] .
v.cognition
{"id": "reviews-095523-0004:16", "lemma": "need", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [16]}
Since I 'm usually at work late Deb has stayed around to [TARGET] help [/TARGET] me [TARGET] out [/TARGET] when needed .
v.social
{"id": "reviews-095523-0004:12,14", "lemma": "help out", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [12, 14]}
This [TARGET] was [/TARGET] after I brought the car !!!! !
v.stative
{"id": "reviews-095523-0005:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [1]}
This was after I [TARGET] brought [/TARGET] the car !!!! !
v.possession
{"id": "reviews-095523-0005:4", "lemma": "bring", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [4]}
This was after I brought the [TARGET] car [/TARGET] !!!! !
n.ARTIFACT
{"id": "reviews-095523-0005:6", "lemma": "car", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [6]}
[TARGET] Service [/TARGET] does not get any better !!!!
n.ACT
{"id": "reviews-095523-0006:0", "lemma": "service", "part_of_speech": "n", "split_group_id": "reviews-095523", "token_indices": [0]}
Service does not [TARGET] get [/TARGET] any better !!!!
v.stative
{"id": "reviews-095523-0006:3", "lemma": "get", "part_of_speech": "v", "split_group_id": "reviews-095523", "token_indices": [3]}
Top [TARGET] range [/TARGET] of bike , cheap prices , excellent a +++
n.COGNITION
{"id": "reviews-100592-0001:1", "lemma": "range", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [1]}
Top range of [TARGET] bike [/TARGET] , cheap prices , excellent a +++
n.ARTIFACT
{"id": "reviews-100592-0001:3", "lemma": "bike", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [3]}
Top range of bike , cheap [TARGET] prices [/TARGET] , excellent a +++
n.POSSESSION
{"id": "reviews-100592-0001:6", "lemma": "price", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [6]}
Top range of bike , cheap prices , excellent [TARGET] a [/TARGET] [TARGET] +++ [/TARGET]
n.COMMUNICATION
{"id": "reviews-100592-0001:9,10", "lemma": "a +++", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [9, 10]}
yep they [TARGET] fixeded [/TARGET] my thumpstar in 1 day .
v.change
{"id": "reviews-100592-0002:2", "lemma": "fix", "part_of_speech": "v", "split_group_id": "reviews-100592", "token_indices": [2]}
yep they fixeded my [TARGET] thumpstar [/TARGET] in 1 day .
n.ARTIFACT
{"id": "reviews-100592-0002:4", "lemma": "thumpstar", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [4]}
yep they fixeded my thumpstar in 1 [TARGET] day [/TARGET] .
n.TIME
{"id": "reviews-100592-0002:7", "lemma": "day", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [7]}
it wase nt [TARGET] going [/TARGET] an had a gear box problem ....
v.stative
{"id": "reviews-100592-0003:3", "lemma": "go", "part_of_speech": "v", "split_group_id": "reviews-100592", "token_indices": [3]}
it wase nt going an [TARGET] had [/TARGET] a gear box [TARGET] problem [/TARGET] ....
v.stative
{"id": "reviews-100592-0003:5,9", "lemma": "have problem", "part_of_speech": "v", "split_group_id": "reviews-100592", "token_indices": [5, 9]}
it wase nt going an had a [TARGET] gear [/TARGET] [TARGET] box [/TARGET] problem ....
n.ARTIFACT
{"id": "reviews-100592-0003:7,8", "lemma": "gear box", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [7, 8]}
i cold n't [TARGET] find [/TARGET] anywere else local to fix it so i took it there and they fixed it for $ 150 ...
v.cognition
{"id": "reviews-100592-0004:3", "lemma": "find", "part_of_speech": "v", "split_group_id": "reviews-100592", "token_indices": [3]}
i cold n't find anywere else local to [TARGET] fix [/TARGET] it so i took it there and they fixed it for $ 150 ...
v.change
{"id": "reviews-100592-0004:8", "lemma": "fix", "part_of_speech": "v", "split_group_id": "reviews-100592", "token_indices": [8]}
i cold n't find anywere else local to fix it so i [TARGET] took [/TARGET] it there and they fixed it for $ 150 ...
v.motion
{"id": "reviews-100592-0004:12", "lemma": "take", "part_of_speech": "v", "split_group_id": "reviews-100592", "token_indices": [12]}
i cold n't find anywere else local to fix it so i took it there and they [TARGET] fixed [/TARGET] it for $ 150 ...
v.change
{"id": "reviews-100592-0004:17", "lemma": "fix", "part_of_speech": "v", "split_group_id": "reviews-100592", "token_indices": [17]}
thanks [TARGET] guys [/TARGET] goes really well and thaks 4 the cheap price ..
n.PERSON
{"id": "reviews-100592-0005:1", "lemma": "guy", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [1]}
thanks guys [TARGET] goes [/TARGET] really well and thaks 4 the cheap price ..
v.stative
{"id": "reviews-100592-0005:2", "lemma": "go", "part_of_speech": "v", "split_group_id": "reviews-100592", "token_indices": [2]}
thanks guys goes really well and thaks 4 the cheap [TARGET] price [/TARGET] ..
n.POSSESSION
{"id": "reviews-100592-0005:10", "lemma": "price", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [10]}
excellent , top [TARGET] guys [/TARGET] a +++++ reccommend to anyone !!!!!!!!!!
n.PERSON
{"id": "reviews-100592-0006:3", "lemma": "guy", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [3]}
excellent , top guys a +++++ [TARGET] reccommend [/TARGET] to anyone !!!!!!!!!!
v.communication
{"id": "reviews-100592-0006:6", "lemma": "recommend", "part_of_speech": "v", "split_group_id": "reviews-100592", "token_indices": [6]}
excellent , top guys [TARGET] a [/TARGET] [TARGET] +++++ [/TARGET] reccommend to anyone !!!!!!!!!!
n.COMMUNICATION
{"id": "reviews-100592-0006:4,5", "lemma": "a +++++", "part_of_speech": "n", "split_group_id": "reviews-100592", "token_indices": [4, 5]}
The Bad : I [TARGET] was [/TARGET] at Napa recently and was unpleasantly surprised at poor waiter svce and subpar food .
v.stative
{"id": "reviews-101398-0002:4", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [4]}
The Bad : I was at [TARGET] Napa [/TARGET] recently and was unpleasantly surprised at poor waiter svce and subpar food .
n.GROUP
{"id": "reviews-101398-0002:6", "lemma": "Napa", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [6]}
The Bad : I was at Napa recently and [TARGET] was [/TARGET] unpleasantly surprised at poor waiter svce and subpar food .
v.stative
{"id": "reviews-101398-0002:9", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [9]}
The Bad : I was at Napa recently and was unpleasantly surprised at poor [TARGET] waiter [/TARGET] svce and subpar food .
n.PERSON
{"id": "reviews-101398-0002:14", "lemma": "waiter", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [14]}
The Bad : I was at Napa recently and was unpleasantly surprised at poor waiter [TARGET] svce [/TARGET] and subpar food .
n.ACT
{"id": "reviews-101398-0002:15", "lemma": "service", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [15]}
The Bad : I was at Napa recently and was unpleasantly surprised at poor waiter svce and subpar [TARGET] food [/TARGET] .
n.FOOD
{"id": "reviews-101398-0002:18", "lemma": "food", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [18]}
We [TARGET] were [/TARGET] a party of 4 and none of us were particularly pleased with our dishes .
v.stative
{"id": "reviews-101398-0003:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [1]}
We were a [TARGET] party [/TARGET] of 4 and none of us were particularly pleased with our dishes .
n.GROUP
{"id": "reviews-101398-0003:3", "lemma": "party", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [3]}
We were a party of 4 and none of us [TARGET] were [/TARGET] particularly pleased with our dishes .
v.stative
{"id": "reviews-101398-0003:10", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [10]}
We were a party of 4 and none of us were particularly pleased with our [TARGET] dishes [/TARGET] .
n.FOOD
{"id": "reviews-101398-0003:15", "lemma": "dish", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [15]}
[TARGET] Napa [/TARGET] is all about wine but gives very short descriptions of the wines on their lists .
n.LOCATION
{"id": "reviews-101398-0004:0", "lemma": "Napa", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [0]}
Napa [TARGET] is [/TARGET] all about wine but gives very short descriptions of the wines on their lists .
v.stative
{"id": "reviews-101398-0004:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [1]}
Napa is all about [TARGET] wine [/TARGET] but gives very short descriptions of the wines on their lists .
n.FOOD
{"id": "reviews-101398-0004:4", "lemma": "wine", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [4]}
Napa is all about wine but gives very short descriptions of the [TARGET] wines [/TARGET] on their lists .
n.FOOD
{"id": "reviews-101398-0004:12", "lemma": "wine", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [12]}
Napa is all about wine but gives very short descriptions of the wines on their [TARGET] lists [/TARGET] .
n.COMMUNICATION
{"id": "reviews-101398-0004:15", "lemma": "list", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [15]}
Napa is all about wine but [TARGET] gives [/TARGET] very short [TARGET] descriptions [/TARGET] of the wines on their lists .
v.communication
{"id": "reviews-101398-0004:6,9", "lemma": "give description", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [6, 9]}
I [TARGET] found [/TARGET] my initial selection satisfactory but the wine flight we chose to be poorly composed .
v.cognition
{"id": "reviews-101398-0005:1", "lemma": "find", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [1]}
I found my initial [TARGET] selection [/TARGET] satisfactory but the wine flight we chose to be poorly composed .
n.COGNITION
{"id": "reviews-101398-0005:4", "lemma": "selection", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [4]}
I found my initial selection satisfactory but the wine flight we [TARGET] chose [/TARGET] to be poorly composed .
v.cognition
{"id": "reviews-101398-0005:11", "lemma": "choose", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [11]}
I found my initial selection satisfactory but the wine flight we chose to [TARGET] be [/TARGET] poorly composed .
v.stative
{"id": "reviews-101398-0005:13", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [13]}
I found my initial selection satisfactory but the wine flight we chose to be poorly [TARGET] composed [/TARGET] .
v.creation
{"id": "reviews-101398-0005:15", "lemma": "compose", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [15]}
I found my initial selection satisfactory but the [TARGET] wine [/TARGET] [TARGET] flight [/TARGET] we chose to be poorly composed .
n.FOOD
{"id": "reviews-101398-0005:8,9", "lemma": "wine flight", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [8, 9]}
If you must [TARGET] go [/TARGET] ask lots of questions about your selections since your expectations may as high as mine were .
v.motion
{"id": "reviews-101398-0006:3", "lemma": "go", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [3]}
If you must go [TARGET] ask [/TARGET] lots of questions about your selections since your expectations may as high as mine were .
v.communication
{"id": "reviews-101398-0006:4", "lemma": "ask", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [4]}
If you must go ask [TARGET] lots [/TARGET] of questions about your selections since your expectations may as high as mine were .
n.QUANTITY
{"id": "reviews-101398-0006:5", "lemma": "lot", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [5]}
If you must go ask lots of [TARGET] questions [/TARGET] about your selections since your expectations may as high as mine were .
n.COMMUNICATION
{"id": "reviews-101398-0006:7", "lemma": "question", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [7]}
If you must go ask lots of questions about your [TARGET] selections [/TARGET] since your expectations may as high as mine were .
n.COGNITION
{"id": "reviews-101398-0006:10", "lemma": "selection", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [10]}
If you must go ask lots of questions about your selections since your [TARGET] expectations [/TARGET] may as high as mine were .
n.COGNITION
{"id": "reviews-101398-0006:13", "lemma": "expectation", "part_of_speech": "n", "split_group_id": "reviews-101398", "token_indices": [13]}
If you must go ask lots of questions about your selections since your expectations may as high as mine [TARGET] were [/TARGET] .
v.stative
{"id": "reviews-101398-0006:19", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-101398", "token_indices": [19]}
Poor [TARGET] service [/TARGET]
n.ACT
{"id": "reviews-101972-0001:1", "lemma": "service", "part_of_speech": "n", "split_group_id": "reviews-101972", "token_indices": [1]}
If you [TARGET] like [/TARGET] the drama described in popular sitcom ' Seinfeld ' , you will see it here .
v.emotion
{"id": "reviews-101972-0002:2", "lemma": "like", "part_of_speech": "v", "split_group_id": "reviews-101972", "token_indices": [2]}
If you like the [TARGET] drama [/TARGET] described in popular sitcom ' Seinfeld ' , you will see it here .
n.COGNITION
{"id": "reviews-101972-0002:4", "lemma": "drama", "part_of_speech": "n", "split_group_id": "reviews-101972", "token_indices": [4]}
If you like the drama [TARGET] described [/TARGET] in popular sitcom ' Seinfeld ' , you will see it here .
v.communication
{"id": "reviews-101972-0002:5", "lemma": "describe", "part_of_speech": "v", "split_group_id": "reviews-101972", "token_indices": [5]}
If you like the drama described in popular [TARGET] sitcom [/TARGET] ' Seinfeld ' , you will see it here .
n.COGNITION
{"id": "reviews-101972-0002:8", "lemma": "sitcom", "part_of_speech": "n", "split_group_id": "reviews-101972", "token_indices": [8]}
If you like the drama described in popular sitcom ' [TARGET] Seinfeld [/TARGET] ' , you will see it here .
n.COMMUNICATION
{"id": "reviews-101972-0002:10", "lemma": "Seinfeld", "part_of_speech": "n", "split_group_id": "reviews-101972", "token_indices": [10]}
If you like the drama described in popular sitcom ' Seinfeld ' , you will [TARGET] see [/TARGET] it here .
v.social
{"id": "reviews-101972-0002:15", "lemma": "see", "part_of_speech": "v", "split_group_id": "reviews-101972", "token_indices": [15]}
We signed our [TARGET] name [/TARGET] in about 6:00 pm .
n.COMMUNICATION
{"id": "reviews-101972-0003:3", "lemma": "name", "part_of_speech": "n", "split_group_id": "reviews-101972", "token_indices": [3]}
We signed our name in about 6:00 [TARGET] pm [/TARGET] .
n.TIME
{"id": "reviews-101972-0003:7", "lemma": "p.m.", "part_of_speech": "n", "split_group_id": "reviews-101972", "token_indices": [7]}
We [TARGET] signed [/TARGET] our name [TARGET] in [/TARGET] about 6:00 pm .
v.communication
{"id": "reviews-101972-0003:1,4", "lemma": "sign in", "part_of_speech": "v", "split_group_id": "reviews-101972", "token_indices": [1, 4]}
There [TARGET] were [/TARGET] 3 names before us .
v.stative
{"id": "reviews-101972-0004:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-101972", "token_indices": [1]}
There were 3 [TARGET] names [/TARGET] before us .
n.COMMUNICATION
{"id": "reviews-101972-0004:3", "lemma": "name", "part_of_speech": "n", "split_group_id": "reviews-101972", "token_indices": [3]}
The [TARGET] greeter [/TARGET] said there was about 15 minutes waiting .
n.PERSON
{"id": "reviews-101972-0005:1", "lemma": "greeter", "part_of_speech": "n", "split_group_id": "reviews-101972", "token_indices": [1]}
The greeter [TARGET] said [/TARGET] there was about 15 minutes waiting .
v.communication
{"id": "reviews-101972-0005:2", "lemma": "say", "part_of_speech": "v", "split_group_id": "reviews-101972", "token_indices": [2]}
The greeter said there [TARGET] was [/TARGET] about 15 minutes waiting .
v.stative
{"id": "reviews-101972-0005:4", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-101972", "token_indices": [4]}
The greeter said there was about 15 [TARGET] minutes [/TARGET] waiting .
n.TIME
{"id": "reviews-101972-0005:7", "lemma": "minute", "part_of_speech": "n", "split_group_id": "reviews-101972", "token_indices": [7]}
The greeter said there was about 15 minutes [TARGET] waiting [/TARGET] .
n.ACT
{"id": "reviews-101972-0005:8", "lemma": "waiting", "part_of_speech": "n", "split_group_id": "reviews-101972", "token_indices": [8]}
However , we [TARGET] waited [/TARGET] and waited and in the mean time , saw 4 groups of people simply just paraded in without signing there names .
v.cognition
{"id": "reviews-101972-0006:3", "lemma": "wait", "part_of_speech": "v", "split_group_id": "reviews-101972", "token_indices": [3]}
However , we waited and [TARGET] waited [/TARGET] and in the mean time , saw 4 groups of people simply just paraded in without signing there names .
v.cognition
{"id": "reviews-101972-0006:5", "lemma": "wait", "part_of_speech": "v", "split_group_id": "reviews-101972", "token_indices": [5]}