Word Sense Disambiguation

The task of Word Sense Disambiguation (WSD) consists of associating words in context with their most suitable entry in a pre-defined sense inventory. The de-facto sense inventory for English in WSD is WordNet.. For example, given the word “mouse” and the following sentence:

“A mouse consists of an object held in one's hand, with one or more buttons.”

we would assign “mouse” with its electronic device sense (the 4th sense in the WordNet sense inventory).

Papers

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Showing 326–350 of 1035 papers

Title	Date	Tasks	Status
Syntactically Aware Neural Architectures for Definition Extraction	Jun 1, 2018	BenchmarkingBinary Classification	—Unverified
SemEval-2018 Task 5: Counting Events and Participants in the Long Tail	Jun 1, 2018	Word Sense Disambiguation	—Unverified
An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data	Jun 1, 2018	General ClassificationQuestion Answering	—Unverified
KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents	Jun 1, 2018	ArticlesClustering	—Unverified
WSD algorithm based on a new method of vector-word contexts proximity calculation via epsilon-filtration	May 24, 2018	SentenceWord Sense Disambiguation	CodeCode Available
Incorporating Glosses into Neural Word Sense Disambiguation	May 21, 2018	Word Sense Disambiguation	CodeCode Available
Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation	May 12, 2018	Word Sense Disambiguation	—Unverified
The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD	May 11, 2018	Word Sense Disambiguation	—Unverified
Approche supervis\'ee \`a base de cellules LSTM bidirectionnelles pour la d\'esambigu\" lexicale (LSTM Based Supervised Approach for Word Sense Disambiguation)	May 1, 2018	NERWord Sense Disambiguation	—Unverified
Traduction automatique de corpus en anglais annot\'es en sens pour la d\'esambigu\" lexicale d'une langue moins bien dot\'ee, l'exemple de l'arabe (Automatic Translation of English Sense Annotated Corpora for Word Sense Disambiguation of a Less Well-endowed Language, the Example of Arabic)	May 1, 2018	es-enWord Sense Disambiguation	—Unverified
WordNet-Shp: Towards the Building of a Lexical Database for a Peruvian Minority Language	May 1, 2018	Machine TranslationWord Sense Disambiguation	—Unverified
Multimodal Lexical Translation	May 1, 2018	Machine TranslationMultimodal Lexical Translation	CodeCode Available
Building Named Entity Recognition Taggers via Parallel Corpora	May 1, 2018	Machine Translationnamed-entity-recognition	CodeCode Available
Building a List of Synonymous Words and Phrases of Japanese Compound Verbs	May 1, 2018	Morphological AnalysisWord Sense Disambiguation	—Unverified
A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch	May 1, 2018	Machine TranslationNMT	—Unverified
Developing New Linguistic Resources and Tools for the Galician Language	May 1, 2018	LemmatizationNamed Entity Recognition (NER)	—Unverified
WikiDragon: A Java Framework For Diachronic Content And Network Analysis Of MediaWikis	May 1, 2018	Named Entity Recognition (NER)Word Sense Disambiguation	CodeCode Available
Coreference Resolution in FreeLing 4.0	May 1, 2018	Constituency Parsingcoreference-resolution	—Unverified
All-words Word Sense Disambiguation Using Concept Embeddings	May 1, 2018	AllWord Embeddings	—Unverified
Unsupervised Korean Word Sense Disambiguation using CoreNet	May 1, 2018	Dependency ParsingMachine Translation	—Unverified
MIsA: Multilingual ``IsA'' Extraction from Corpora	May 1, 2018	Relation ExtractionWord Sense Disambiguation	—Unverified
Lexical and Semantic Features for Cross-lingual Text Reuse Classification: an Experiment in English and Latin Paraphrases	May 1, 2018	General ClassificationSemantic Textual Similarity	—Unverified
Joint Learning of Sense and Word Embeddings	May 1, 2018	Dependency ParsingSentiment Analysis	—Unverified
A Large Automatically-Acquired All-Words List of Multiword Expressions Scored for Compositionality	May 1, 2018	AllInformation Retrieval	—Unverified
UFSAC: Unification of Sense Annotated Corpora and Tools	May 1, 2018	Word Sense Disambiguation	CodeCode Available

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All datasets Words in Context Supervised:RUSSE SemEval 2013 Task 12 Senseval-2 SensEval 3 Task 1 SemEval 2007 Task 7 SemEval 2007 Task 17 FEWS WiC-TSV BIG-bench (Anachronisms)Knowledge-based:

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	COSINE + Transductive Learning	Accuracy	85.3	—	Unverified
2	PaLM 540B (finetuned)	Accuracy	78.8	—	Unverified
3	ST-MoE-32B 269B (fine-tuned)	Accuracy	77.7	—	Unverified
4	DeBERTa-Ensemble	Accuracy	77.5	—	Unverified
5	Vega v2 6B (fine-tuned)	Accuracy	77.4	—	Unverified
6	UL2 20B (fine-tuned)	Accuracy	77.3	—	Unverified
7	Turing NLR v5 XXL 5.4B (fine-tuned)	Accuracy	77.1	—	Unverified
8	T5-XXL 11B	Accuracy	76.9	—	Unverified
9	DeBERTa-1.5B	Accuracy	76.4	—	Unverified
10	ST-MoE-L 4.1B (fine-tuned)	Accuracy	74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SANDWiCH	Senseval 2	87.8	—	Unverified
2	GlossGPT	Senseval 2	86.1	—	Unverified
3	ConSeC+WNGC	Senseval 2	82.7	—	Unverified
4	ESR+WNGC	Senseval 2	82.5	—	Unverified
5	ConSeC	Senseval 2	82.3	—	Unverified
6	ESCHER SemCor	Senseval 2	81.7	—	Unverified
7	ESR	Senseval 2	81.3	—	Unverified
8	EWISER+WNGC	Senseval 2	80.8	—	Unverified
9	SemCor+WNGC, hypernyms	Senseval 2	79.7	—	Unverified
10	SparseLMMS+WNGC	Senseval 2	79.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Human Benchmark	Accuracy	0.81	—	Unverified
2	ruT5-large-finetune	Accuracy	0.74	—	Unverified
3	RuBERT conversational	Accuracy	0.73	—	Unverified
4	RuBERT plain	Accuracy	0.73	—	Unverified
5	ruRoberta-large finetune	Accuracy	0.72	—	Unverified
6	ruBert-base finetune	Accuracy	0.71	—	Unverified
7	Multilingual Bert	Accuracy	0.69	—	Unverified
8	ruT5-base-finetune	Accuracy	0.68	—	Unverified
9	ruBert-large finetune	Accuracy	0.68	—	Unverified
10	SBERT_Large_mt_ru_finetuning	Accuracy	0.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SemCor+WNGC, hypernyms	F1	78.7	—	Unverified
2	SemCor+WNGT, vocabulary reduced, ensemble	F1	72.63	—	Unverified
3	LSTMLP (T:SemCor, U:1K)	F1	69.5	—	Unverified
4	LSTMLP (T:OMSTI, U:1K)	F1	68.1	—	Unverified
5	LSTMLP (T:SemCor, U:OMSTI)	F1	67.9	—	Unverified
6	LSTM (T:OMSTI)	F1	67.3	—	Unverified
7	GASext (Concatenation)	F1	67.2	—	Unverified
8	GASext (Linear)	F1	67.1	—	Unverified
9	GAS (Concatenation)	F1	67	—	Unverified
10	LSTM (T:SemCor)	F1	67	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SemCor+WNGC, hypernyms	F1	79.7	—	Unverified
2	SemCor+WNGT, vocabulary reduced, ensemble	F1	75.15	—	Unverified
3	LSTMLP (T:OMSTI, U:1K)	F1	74.4	—	Unverified
4	LSTMLP (T:SemCor, U:OMSTI)	F1	73.9	—	Unverified
5	LSTMLP (T:SemCor, U:1K)	F1	73.8	—	Unverified
6	LSTM (T:SemCor)	F1	73.6	—	Unverified
7	GASext (Linear)	F1	72.4	—	Unverified
8	LSTM (T:OMSTI)	F1	72.4	—	Unverified
9	GASext (Concatenation)	F1	72.2	—	Unverified
10	GAS (Concatenation)	F1	72.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SemCor+WNGC, hypernyms	F1	77.8	—	Unverified
2	LSTMLP (T:SemCor, U:1K)	F1	71.8	—	Unverified
3	LSTMLP (T:SemCor, U:OMSTI)	F1	71.1	—	Unverified
4	LSTMLP (T:OMSTI, U:1K)	F1	71	—	Unverified
5	GASext (Concatenation)	F1	70.5	—	Unverified
6	GAS (Concatenation)	F1	70.2	—	Unverified
7	SemCor+WNGT, vocabulary reduced, ensemble	F1	70.11	—	Unverified
8	GASext (Linear)	F1	70.1	—	Unverified
9	GAS (Linear)	F1	70	—	Unverified
10	LSTM (T:SemCor)	F1	69.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SemCor+WNGC, hypernyms	F1	90.4	—	Unverified
2	SemCor+WNGT, vocabulary reduced, ensemble	F1	86.02	—	Unverified
3	kNN-BERT + POS (training corpus: WNGT)	F1	85.32	—	Unverified
4	LSTMLP (T:SemCor, U:OMSTI)	F1	84.3	—	Unverified
5	LSTMLP (T:SemCor, U:1K)	F1	83.6	—	Unverified
6	LSTMLP (T:OMSTI, U:1K)	F1	83.3	—	Unverified
7	LSTM (T:SemCor)	F1	82.8	—	Unverified
8	ShotgunWSD 2.0	F1	81.22	—	Unverified
9	kNN-BERT	F1	81.2	—	Unverified
10	LSTM (T:OMSTI)	F1	81.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SemCor+WNGC, hypernyms	F1	73.4	—	Unverified
2	SemCor+WNGT, vocabulary reduced, ensemble	F1	66.81	—	Unverified
3	LSTM (T:SemCor)	F1	64.2	—	Unverified
4	LSTMLP (T:SemCor, U:OMSTI)	F1	63.7	—	Unverified
5	LSTMLP (T:SemCor, U:1K)	F1	63.5	—	Unverified
6	LSTMLP (T:OMSTI, U:1K)	F1	63.3	—	Unverified
7	kNN-BERT + POS (training corpus: SemCor)	F1	63.17	—	Unverified
8	kNN-BERT	F1	60.94	—	Unverified
9	LSTM (T:OMSTI)	F1	60.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GlossGPT	F1 (Zeroshot Dev)	81.8	—	Unverified
2	ESR Large	F1 (Zeroshot Dev)	77.4	—	Unverified
3	ESR base	F1 (Zeroshot Dev)	73.9	—	Unverified
4	SEMEq Large	F1 (Zeroshot Dev)	73.7	—	Unverified
5	SEMeq base	F1 (Zeroshot Dev)	71.5	—	Unverified
6	RTWE large	F1 (Zero shot test)	69.9	—	Unverified
7	Lesk	F1 (Zeroshot Dev)	40.1	—	Unverified
8	MFS	F1 (Zeroshot Dev)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Human	Task 3 Accuracy: all	85.3	—	Unverified
2	transformers	Task 1 Accuracy: all	77.8	—	Unverified
3	CTLR	Task 1 Accuracy: all	76.8	—	Unverified
4	GlossBert-ws	Task 1 Accuracy: all	75.9	—	Unverified
5	Bert-base	Task 1 Accuracy: all	75.3	—	Unverified
6	Unsupervised Bert	Task 1 Accuracy: all	54.4	—	Unverified
7	FastText	Task 1 Accuracy: all	53.7	—	Unverified
8	All true	Task 1 Accuracy: all	50.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Chinchilla-70B (few-shot, k=5)	Accuracy	69.1	—	Unverified
2	Gopher-280B (few-shot, k=5)	Accuracy	56.4	—	Unverified
3	OPT 175B	Accuracy	49.1	—	Unverified
4	GAL 120B (few-shot, k=5)	Accuracy	48.7	—	Unverified
5	GAL 30B (few-shot, k=5)	Accuracy	47	—	Unverified
6	BLOOM 176B	Accuracy	1.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UKBppr_w2w	Senseval 2	68.8	—	Unverified
2	KEF	All	68	—	Unverified
3	WSD-TM	All	66.9	—	Unverified
4	Babelfy	All	65.5	—	Unverified
5	WN 1st sense baseline	All	65.2	—	Unverified
6	UKBppr_w2w-nf	All	57.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SemCor+WNGC, hypernyms	F1	82.6	—	Unverified
2	SemCor+WNGT, vocabulary reduced, ensemble	F1	74.46	—	Unverified
3	GASext (Concatenation)	F1	72.6	—	Unverified
4	GASext (Linear)	F1	72.1	—	Unverified
5	GAS (Concatenation)	F1	71.8	—	Unverified
6	GAS (Linear)	F1	71.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	kNN-BERT	F1	80.12	—	Unverified
2	IMS + adapted CW	F1	73.4	—	Unverified
3	BiLSTM with GloVe	F1	73.4	—	Unverified
4	Single BiLSTM	F1	72.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	kNN-BERT	F1	76.52	—	Unverified
2	BiLSTM with GloVe	F1	66.9	—	Unverified
3	IMS + adapted CW	F1	66.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SPIN	Sequence Recovery %(All)	30.3	—	Unverified