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Grammatical Error Detection 벤치마크

Grammatical Error Detection on FCE

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F0.5

41.1 48.88 56.65 64.43 72.2 2016-07 2026-11 Bi-LSTM — 41.1 (2016-07-20) Bi-LSTM + charattn — 41.88 (2016-11-14) Bi-LSTM + LMcost — 48.48 (2017-04-24) Ann+PAT+MT — 49.11 (2017-07-17) Bi-LSTM + err POS GR — 47.7 (2017-07-17) Bi-LSTM+ Error- and Grammaticality-Specific Word Embeddings — 44.6 (2017-11-01) BiLSTM-JOINT — 52.07 (2018-11-14) VERNet — 72.2 (2021-05-10) Bi-LSTM — 41.1 (2016-07-20) Bi-LSTM + charattn — 41.88 (2016-11-14) Bi-LSTM + LMcost — 48.48 (2017-04-24) Ann+PAT+MT — 49.11 (2017-07-17) BiLSTM-JOINT — 52.07 (2018-11-14) VERNet — 72.2 (2021-05-10)
RankModel F0.5 PaperCodeYear
1 VERNet 72.2 Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction thunlp/VERNet 2021
2 BiLSTM-JOINT 52.07 Jointly Learning to Label Sentences and Tokens marekrei/mltagger · MirunaPislar/multi-head-attention-labeller 2018
3 Ann+PAT+MT 49.11 Artificial Error Generation with Machine Translation and Syntactic Patterns 2017
4 Bi-LSTM + LMcost 48.48 Semi-supervised Multitask Learning for Sequence Labeling marekrei/sequence-labeler · MirunaPislar/multi-head-attention-labeller · samueljamesbell/sequence-labeler 2017
5 Bi-LSTM + err POS GR 47.7 Auxiliary Objectives for Neural Error Detection Models 2017
6 Bi-LSTM+ Error- and Grammaticality-Specific Word Embeddings 44.6 Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings kanekomasahiro/grammatical-error-detection 2017
7 Bi-LSTM + charattn 41.88 Attending to Characters in Neural Sequence Labeling Models 2016
8 Bi-LSTM 41.1 Compositional Sequence Labeling Models for Error Detection in Learner Writing 2016
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