tokens list | ner_tags list |
|---|---|
[
"Learning",
"Efficient",
"Information",
"Extraction",
"on",
"Heterogeneous",
"Texts"
] | [
21,
3,
17,
10,
21,
4,
11
] |
[
"Fully",
"Quantized",
"Transformer",
"for",
"Machine",
"Translation"
] | [
21,
21,
24,
21,
3,
10
] |
[
"A",
"Finite-State",
"Morphological",
"Analyser",
"for",
"Sindhi"
] | [
5,
19,
19,
12,
21,
23
] |
[
"End-to-End",
"Neural",
"Context",
"Reconstruction",
"in",
"Chinese",
"Dialogue"
] | [
5,
19,
19,
12,
21,
4,
11
] |
[
"Accounting",
"for",
"Allomorphy",
"in",
"Finite-state",
"Transducers"
] | [
21,
21,
21,
21,
4,
11
] |
[
"Part-of-Speech",
"Tagging",
"for",
"French",
"Social",
"Media",
"Data"
] | [
3,
10,
21,
0,
14,
14,
7
] |
[
"Enhancing",
"Topic-to-Essay",
"Generation",
"with",
"External",
"Commonsense",
"Knowledge"
] | [
5,
19,
12,
21,
4,
18,
11
] |
[
"Ubiquitous",
"Usage",
"of",
"a",
"Broad",
"Coverage",
"French",
"Corpus:",
"Processing",
"the",
"Est",
"Republicain",
"corpus"
] | [
2,
9,
21,
0,
14,
14,
14,
7,
21,
0,
14,
14,
7
] |
[
"Psycholinguistic",
"Models",
"of",
"Sentence",
"Processing",
"Improve",
"Sentence",
"Readability",
"Ranking"
] | [
5,
12,
21,
2,
9,
21,
3,
17,
10
] |
[
"Composing",
"Finite",
"State",
"Transducers",
"on",
"GPUs"
] | [
5,
19,
19,
12,
21,
28
] |
[
"Transfer",
"Learning",
"for",
"Health-related",
"Twitter",
"Data"
] | [
2,
9,
21,
0,
14,
7
] |
[
"The",
"Making",
"of",
"the",
"Royal",
"Society",
"Corpus"
] | [
21,
21,
21,
0,
14,
14,
7
] |
[
"Dynamic",
"Convolution",
"for",
"3D",
"Point",
"Cloud",
"Instance",
"Segmentation"
] | [
21,
24,
21,
21,
21,
21,
3,
10
] |
[
"Large",
"Scale",
"Question",
"Paraphrase",
"Retrieval",
"with",
"Smoothed",
"Deep",
"Metric",
"Learning"
] | [
3,
17,
17,
17,
10,
21,
5,
19,
19,
12
] |
[
"Multi-metric",
"optimization",
"for",
"coreference:",
"The",
"UniTN",
"/",
"IITP",
"/",
"Essex",
"submission",
"to",
"the",
"2011",
"CONLL",
"Shared",
"Task"
] | [
5,
12,
21,
25,
5,
19,
19,
19,
19,
19,
12,
21,
3,
17,
17,
17,
10
] |
[
"Enhancing",
"General",
"Sentiment",
"Lexicons",
"for",
"Domain-Specific",
"Use"
] | [
5,
19,
19,
12,
21,
2,
9
] |
[
"Learning",
"Paraphrasing",
"for",
"Multiword",
"Expressions"
] | [
5,
12,
21,
4,
11
] |
[
"New",
"Readability",
"Measures",
"for",
"Bangla",
"and",
"Hindi",
"Texts"
] | [
5,
19,
12,
21,
4,
18,
18,
11
] |
[
"Sparser",
"Better",
"Faster",
"GPU",
"Parsing"
] | [
5,
19,
19,
19,
12
] |
[
"Structuring",
"Latent",
"Spaces",
"for",
"Stylized",
"Response",
"Generation"
] | [
5,
19,
12,
21,
3,
17,
10
] |
[
"Character-based",
"Neural",
"Embeddings",
"for",
"Tweet",
"Clustering"
] | [
5,
19,
12,
21,
3,
10
] |
[
"IBC-C:",
"A",
"Dataset",
"for",
"Armed",
"Conflict",
"Analysis"
] | [
27,
0,
14,
14,
14,
14,
7
] |
[
"Joint",
"Semantic",
"Relevance",
"Learning",
"Text",
"Data",
"and",
"Graph",
"Knowledge"
] | [
5,
19,
19,
19,
19,
19,
19,
19,
12
] |
[
"Random",
"Erasing",
"Data",
"Augmentation"
] | [
2,
9,
3,
10
] |
[
"Generalized",
"chart",
"constraints",
"for",
"efficient",
"PCFG",
"and",
"TAG",
"parsing"
] | [
5,
19,
12,
21,
2,
16,
16,
16,
9
] |
[
"Skip-Gram",
"?",
"Zipf",
"+",
"Uniform"
] | [
21,
21,
5,
19,
12
] |
[
"A",
"Sequence",
"Labelling",
"Approach",
"to",
"Quote",
"Attribution"
] | [
5,
19,
19,
12,
21,
3,
10
] |
[
"Robust",
"Cross-Domain",
"Sentiment",
"Analysis",
"for",
"Low-Resource",
"Languages"
] | [
5,
19,
19,
12,
21,
4,
11
] |
[
"Genre-oriented",
"Readability",
"Assessment:",
"a",
"Case",
"Study"
] | [
2,
16,
9,
21,
21,
21
] |
[
"Figurative",
"Language",
"in",
"Swedish",
"Clinical",
"Texts"
] | [
5,
12,
21,
4,
18,
11
] |
[
"TweetGenie:",
"Development",
"Evaluation",
"and",
"Lessons",
"Learned"
] | [
27,
5,
19,
19,
19,
12
] |
[
"Crowd-based",
"MT",
"Evaluation",
"for",
"non-English",
"Target",
"Languages"
] | [
5,
19,
12,
21,
4,
18,
11
] |
[
"Role-specific",
"Language",
"Models",
"for",
"Processing",
"Recorded",
"Neuropsychological",
"Exams"
] | [
5,
19,
12,
21,
21,
4,
18,
11
] |
[
"UMDuluth-BlueTeam:",
"SVCSTS",
"A",
"Multilingual",
"and",
"Chunk",
"Level",
"Semantic",
"Similarity",
"System"
] | [
27,
5,
19,
19,
19,
19,
19,
19,
19,
12
] |
[
"Subsampling",
"Generative",
"Adversarial",
"Networks:",
"Density",
"Ratio",
"Estimation",
"in",
"Feature",
"Space",
"with",
"Softplus",
"Loss"
] | [
21,
21,
21,
21,
3,
17,
10,
21,
21,
21,
21,
24,
21
] |
[
"Natural",
"Language",
"Models",
"for",
"Predicting",
"Programming",
"Comments"
] | [
5,
19,
12,
21,
3,
17,
10
] |
[
"Distinguishing",
"Antonyms",
"and",
"Synonyms",
"in",
"a",
"Pattern-based",
"Neural",
"Network"
] | [
5,
19,
19,
12,
21,
6,
20,
20,
13
] |
[
"Fine-tuning",
"BERT",
"for",
"multi-domain",
"and",
"multi-label",
"incivil",
"language",
"detection"
] | [
2,
9,
21,
5,
19,
19,
19,
19,
12
] |
[
"PORT:",
"a",
"Precision-Order-Recall",
"MT",
"Evaluation",
"Metric",
"for",
"Tuning"
] | [
27,
5,
19,
19,
19,
12,
21,
21
] |
[
"Nested",
"Named",
"Entity",
"Recognition",
"Revisited"
] | [
3,
17,
17,
10,
21
] |
[
"Language",
"Independent",
"Named",
"Entity",
"Identification",
"using",
"Wikipedia"
] | [
5,
19,
19,
19,
12,
21,
26
] |
[
"A",
"Comparative",
"Study",
"of",
"Minimally",
"Supervised",
"Morphological",
"Segmentation"
] | [
5,
19,
12,
21,
3,
17,
17,
10
] |
[
"Error",
"Mining",
"with",
"Suspicion",
"Trees:",
"Seeing",
"the",
"Forest",
"for",
"the",
"Trees"
] | [
5,
12,
21,
2,
9,
21,
21,
21,
21,
21,
21
] |
[
"The",
"Bremen",
"System",
"for",
"the",
"GIVE-2.5",
"Challenge"
] | [
5,
19,
12,
21,
3,
17,
10
] |
[
"WMT2016:",
"A",
"Hybrid",
"Approach",
"to",
"Bilingual",
"Document",
"Alignment"
] | [
27,
5,
19,
12,
21,
3,
17,
10
] |
[
"Targeted",
"Aspect-Based",
"Sentiment",
"Analysis",
"via",
"Embedding",
"Commonsense",
"Knowledge",
"into",
"an",
"Attentive",
"LSTM"
] | [
21,
3,
17,
10,
21,
21,
21,
21,
21,
21,
21,
24
] |
[
"Tilde",
"MODEL",
"Multilingual",
"Open",
"Data",
"for",
"EU",
"Languages"
] | [
5,
19,
19,
19,
12,
21,
4,
11
] |
[
"Latent-Variable",
"Generative",
"Models",
"for",
"Data-Efficient",
"Text",
"Classification"
] | [
5,
19,
12,
21,
3,
17,
10
] |
[
"A",
"Multi-Task",
"Architecture",
"on",
"Relevance-based",
"Neural",
"Query",
"Translation"
] | [
5,
19,
12,
21,
3,
17,
17,
10
] |
[
"Frame-Based",
"Annotation",
"of",
"Multimodal",
"Corpora:",
"Tracking",
"(A)Synchronies",
"in",
"Meaning",
"Construction"
] | [
5,
12,
21,
4,
11,
5,
12,
21,
3,
10
] |
[
"Coupling",
"Natural",
"Language",
"Processing",
"and",
"Animation",
"Synthesis",
"in",
"Portuguese",
"Sign",
"Language",
"Translation"
] | [
21,
21,
21,
21,
21,
21,
21,
21,
3,
17,
17,
10
] |
[
"A",
"Strategy",
"of",
"Mapping",
"Polish",
"WordNet",
"onto",
"Princeton",
"WordNet"
] | [
21,
21,
21,
2,
16,
9,
21,
4,
11
] |
[
"Exact",
"yet",
"Efficient",
"Graph",
"Parsing",
"Bi-directional",
"Locality",
"and",
"the",
"Constructivist",
"Hypothesis"
] | [
5,
19,
19,
19,
19,
19,
12,
21,
2,
16,
9
] |
[
"The",
"Physics",
"of",
"Text:",
"Ontological",
"Realism",
"in",
"Information",
"Extraction"
] | [
21,
21,
21,
26,
5,
12,
21,
3,
10
] |
[
"A",
"Qualitative",
"Evaluation",
"Framework",
"for",
"Paraphrase",
"Identification"
] | [
5,
19,
19,
12,
21,
3,
10
] |
[
"Understanding",
"Script-Mixing:",
"A",
"Case",
"Study",
"of",
"Hindi-English",
"Bilingual",
"Twitter",
"Users"
] | [
5,
12,
21,
21,
21,
21,
4,
18,
18,
11
] |
[
"Pea-KD:",
"Parameter-efficient",
"and",
"Accurate",
"Knowledge",
"Distillation",
"on",
"BERT"
] | [
21,
21,
21,
21,
3,
10,
21,
24
] |
[
"+/-EffectWordNet:",
"Sense-level",
"Lexicon",
"Acquisition",
"for",
"Opinion",
"Inference"
] | [
27,
5,
19,
12,
21,
3,
10
] |
[
"Getting",
"More",
"from",
"Segmentation",
"Evaluation"
] | [
21,
21,
21,
3,
10
] |
[
"Just",
"Talking",
"Modelling",
"Casual",
"Conversation"
] | [
5,
19,
19,
19,
12
] |
[
"Practical",
"Finite",
"State",
"Optimality",
"Theory"
] | [
5,
19,
19,
19,
12
] |
[
"Topical",
"Key",
"Concept",
"Extraction",
"from",
"Folksonomy"
] | [
5,
19,
19,
12,
21,
21
] |
[
"Generating",
"Characteristic-rich",
"Question",
"Sets",
"for",
"QA",
"Evaluation"
] | [
21,
5,
19,
12,
21,
3,
10
] |
[
"Overview",
"of",
"the",
"2016",
"ALTA",
"Shared",
"Task:",
"Cross-KB",
"Coreference"
] | [
21,
21,
3,
17,
17,
17,
10,
3,
10
] |
[
"A",
"multilingual",
"collection",
"of",
"CoNLL-U-compatible",
"morphological",
"lexicons"
] | [
5,
19,
12,
21,
4,
18,
11
] |
[
"sthruggle",
"at",
"SemEval-2019",
"Task",
"05:00",
"An",
"Ensemble",
"Approach",
"to",
"Hate",
"Speech",
"Detection"
] | [
27,
21,
3,
17,
10,
5,
19,
12,
21,
3,
17,
10
] |
[
"Exploiting",
"Community",
"Emotion",
"for",
"Microblog",
"Event",
"Detection"
] | [
5,
19,
12,
21,
3,
17,
10
] |
[
"Radon",
"Features",
"and",
"Barcodes",
"for",
"Medical",
"Image",
"Retrieval",
"via",
"SVM"
] | [
21,
21,
21,
21,
21,
3,
17,
10,
21,
24
] |
[
"Natural",
"Language",
"Processing",
"Technologies",
"for",
"Document",
"Profiling"
] | [
5,
19,
19,
12,
21,
3,
10
] |
[
"Building",
"Trainable",
"Taggers",
"in",
"a",
"Web-based",
"UIMA-Supported",
"NLP",
"Workbench"
] | [
5,
19,
12,
21,
6,
20,
20,
20,
13
] |
[
"Comparative",
"Quality",
"Estimation:",
"Automatic",
"Sentence-Level",
"Ranking",
"of",
"Multiple",
"Machine",
"Translation",
"Outputs"
] | [
5,
19,
12,
5,
19,
12,
21,
4,
18,
18,
11
] |
[
"Object",
"Hallucination",
"in",
"Image",
"Captioning"
] | [
5,
12,
21,
3,
10
] |
[
"An",
"Annotation",
"System",
"for",
"Chinese",
"Discourse",
"Corpus"
] | [
5,
19,
12,
21,
4,
18,
11
] |
[
"The",
"NRC",
"System",
"for",
"Discriminating",
"Similar",
"Languages"
] | [
5,
19,
12,
21,
3,
17,
10
] |
[
"The",
"Halliday",
"Centre",
"Tagger:",
"An",
"Online",
"Platform",
"for",
"Semi-automatic",
"Text",
"Annotation",
"and",
"Analysis"
] | [
5,
19,
19,
12,
5,
19,
12,
21,
2,
16,
16,
16,
9
] |
[
"Grammar",
"Size",
"and",
"Quantitative",
"Restrictions",
"on",
"Movement"
] | [
5,
19,
19,
19,
12,
21,
21
] |
[
"Error",
"Detection",
"for",
"Treebank",
"Validation"
] | [
3,
10,
21,
2,
9
] |
[
"Sensible",
"at",
"SemEval-2016",
"Task",
"11:00",
"Neural",
"Nonsense",
"Mangled",
"in",
"Ensemble",
"Mess"
] | [
27,
21,
3,
17,
10,
21,
21,
21,
21,
4,
11
] |
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