Word Sense Disambiguation On Semeval 2007

Results

Performance results of various models on this benchmark

		Paper Title	Repository
SemCor+WNGC, hypernyms	73.4	Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation
SemCor+WNGT, vocabulary reduced, ensemble	66.81	Improving the Coverage and the Generalization Ability of Neural Word Sense Disambiguation through Hypernymy and Hyponymy Relationships	-
LSTM (T:SemCor)	64.2	Semi-supervised Word Sense Disambiguation with Neural Models	-
LSTMLP (T:SemCor, U:OMSTI)	63.7	Semi-supervised Word Sense Disambiguation with Neural Models	-
LSTMLP (T:SemCor, U:1K)	63.5	Semi-supervised Word Sense Disambiguation with Neural Models	-
LSTMLP (T:OMSTI, U:1K)	63.3	Semi-supervised Word Sense Disambiguation with Neural Models	-
kNN-BERT + POS (training corpus: SemCor)	63.17	Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
kNN-BERT	60.94	Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
LSTM (T:OMSTI)	60.7	Semi-supervised Word Sense Disambiguation with Neural Models	-

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