Word Sense Disambiguation On Supervised

评估指标

SemEval 2007

SemEval 2013

SemEval 2015

Senseval 2

Senseval 3

评测结果

各个模型在此基准测试上的表现结果

						Paper Title	Repository
SANDWiCH	80.9	92.6	91.5	87.8	85.7	SANDWiCH: Semantical Analysis of Neighbours for Disambiguating Words in Context ad Hoc
ESR+WNGC	78.5	82.3	85.3	82.5	80.2	Improved Word Sense Disambiguation with Enhanced Sense Representations	-
ConSeC+WNGC	78.5	85.2	87.5	82.7	81.0	ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension	-
ConSeC	77.4	83.2	85.2	82.3	79.9	ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension	-
ESR	77.0	81.5	84.1	81.3	79.9	Improved Word Sense Disambiguation with Enhanced Sense Representations	-
ESCHER SemCor	76.3	82.2	83.2	81.7	77.8	ESC: Redesigning WSD with Extractive Sense Comprehension	-
EWISER+WNGC	75.2	80.7	81.8	80.8	79.0	Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information	-
BEM	74.5	79.7	81.7	79.4	77.4	Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders	-
SemCor+WNGC, hypernyms	73.4	78.7	82.6	79.7	77.8	Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation
SparseLMMS+WNGC	73.0	79.4	81.3	79.6	77.3	Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations	-
GlossBERT	72.5	76.1	80.4	77.7	75.2	GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
EWISER	71.0	78.9	79.3	78.9	78.4	Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information	-
ARES	71.0	77.3	83.2	78.0	77.1	With More Contexts Comes Better Performance: Contextualized Sense Embeddings for All-Round Word Sense Disambiguation	-
SparseLMMS	68.8	76.1	77.5	77.9	77.8	Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations	-
BERT (linear projection)	68.1	71.1	76.2	75.5	73.6	Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations
SemCor+WNGT, vocabulary reduced, ensemble	66.81	72.63	74.46	75.15	70.11	Improving the Coverage and the Generalization Ability of Neural Word Sense Disambiguation through Hypernymy and Hyponymy Relationships	-
Bi-LSTM<sub>att+LEX+POS</sub>	64.8*	66.9	71.5	72.0	69.1	Neural Sequence Learning Models for Word Sense Disambiguation	-
Bi-LSTM<sub>att+LEX</sub>	63.7*	66.4	72.4	72.0	69.4	Neural Sequence Learning Models for Word Sense Disambiguation	-
BERT (nearest neighbour)	63.3	69.2	74.4	73.8	71.6	Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations
supWSD<sub>emb</sub>	63.1	66.8	71.8	72.7	70.6	-	-

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