Word Sense Disambiguation On Semeval 2013

Results

Performance results of various models on this benchmark

		Paper Title	Repository
SemCor+WNGC, hypernyms	78.7	Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation
SemCor+WNGT, vocabulary reduced, ensemble	72.63	Improving the Coverage and the Generalization Ability of Neural Word Sense Disambiguation through Hypernymy and Hyponymy Relationships	-
LSTMLP (T:SemCor, U:1K)	69.5	Semi-supervised Word Sense Disambiguation with Neural Models	-
LSTMLP (T:OMSTI, U:1K)	68.1	Semi-supervised Word Sense Disambiguation with Neural Models	-
LSTMLP (T:SemCor, U:OMSTI)	67.9	Semi-supervised Word Sense Disambiguation with Neural Models	-
LSTM (T:OMSTI)	67.3	Semi-supervised Word Sense Disambiguation with Neural Models	-
GASext (Concatenation)	67.2	Incorporating Glosses into Neural Word Sense Disambiguation
GASext (Linear)	67.1	Incorporating Glosses into Neural Word Sense Disambiguation
LSTM (T:SemCor)	67.0	Semi-supervised Word Sense Disambiguation with Neural Models	-
GAS (Concatenation)	67.0	Incorporating Glosses into Neural Word Sense Disambiguation
GAS (Linear)	66.7	Incorporating Glosses into Neural Word Sense Disambiguation
ShotgunWSD 2.0	63.05	ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing	-

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