paper-with-me

Word Sense Disambiguation 벤치마크

Word Sense Disambiguation on SemEval 2007 Task 7

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F1

81.1 83.42 85.75 88.08 90.4 2016-03 2026-09 LSTMLP (T:SemCor, U:OMSTI) — 84.3 (2016-03-22) LSTMLP (T:SemCor, U:1K) — 83.6 (2016-03-22) LSTMLP (T:OMSTI, U:1K) — 83.3 (2016-03-22) LSTM (T:SemCor) — 82.8 (2016-03-22) LSTM (T:OMSTI) — 81.1 (2016-03-22) ShotgunWSD 2.0 — 81.22 (2017-07-25) SemCor+WNGT, vocabulary reduced, ensemble — 86.02 (2018-11-02) SemCor+WNGC, hypernyms — 90.4 (2019-05-14) kNN-BERT + POS (training corpus: WNGT) — 85.32 (2019-09-23) kNN-BERT — 81.2 (2019-09-23) LSTMLP (T:SemCor, U:OMSTI) — 84.3 (2016-03-22) SemCor+WNGT, vocabulary reduced, ensemble — 86.02 (2018-11-02) SemCor+WNGC, hypernyms — 90.4 (2019-05-14)
RankModel F1Unsupervised PaperCodeYear
1 SemCor+WNGC, hypernyms 90.4 Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation getalp/disambiguate · Gozzo18/WSD-Final-Homework---NLP 2019
2 SemCor+WNGT, vocabulary reduced, ensemble 86.02 Improving the Coverage and the Generalization Ability of Neural Word Sense Disambiguation through Hypernymy and Hyponymy Relationships 2018
3 kNN-BERT + POS (training corpus: WNGT) 85.32 Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings uhh-lt/bert-sense 2019
4 LSTMLP (T:SemCor, U:OMSTI) 84.3 Semi-supervised Word Sense Disambiguation with Neural Models 2016
5 LSTMLP (T:SemCor, U:1K) 83.6 Semi-supervised Word Sense Disambiguation with Neural Models 2016
6 LSTMLP (T:OMSTI, U:1K) 83.3 Semi-supervised Word Sense Disambiguation with Neural Models 2016
7 LSTM (T:SemCor) 82.8 Semi-supervised Word Sense Disambiguation with Neural Models 2016
8 ShotgunWSD 2.0 81.22yes ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing 2017
9 kNN-BERT 81.20 Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings uhh-lt/bert-sense 2019
10 LSTM (T:OMSTI) 81.1 Semi-supervised Word Sense Disambiguation with Neural Models 2016
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