paper-with-me

Natural Language Understanding 벤치마크

Natural Language Understanding on LexGLUE

8개 결과 · ⬇ CSV · JSON

ECtHR Task A

66.3 67.58 68.85 70.12 71.4 2021-09 2026-09 Optimised SVM Baseline — 66.3 (2021-09-15) BERT — 71.4 (2021-10-03) Legal-BERT — 71.2 (2021-10-03) CaseLaw-BERT — 71.2 (2021-10-03) BigBird — 70.5 (2021-10-03) Longformer — 69.6 (2021-10-03) RoBERTa — 69.5 (2021-10-03) DeBERTa — 69.1 (2021-10-03) Optimised SVM Baseline — 66.3 (2021-09-15) BERT — 71.4 (2021-10-03)
RankModel ECtHR Task AECtHR Task BSCOTUSEUR-LEXLEDGARUNFAIR-ToSCaseHOLD PaperCodeYear
1 BERT 71.4 / 64.087.6 / 77.870.5 / 60.971.6 / 55.687.7 / 82.287.5 / 81.070.7 LexGLUE: A Benchmark Dataset for Legal Language Understanding in English coastalcph/lex-glue 2021
2 Legal-BERT 71.2 / 64.688.0 / 77.276.2 / 65.872.2 / 56.288.1 / 82.788.6 / 82.375.1 LexGLUE: A Benchmark Dataset for Legal Language Understanding in English coastalcph/lex-glue 2021
3 CaseLaw-BERT 71.2 / 64.288.0 / 77.576.4 / 66.271.0 / 55.988.0 / 82.388.3 / 81.075.6 LexGLUE: A Benchmark Dataset for Legal Language Understanding in English coastalcph/lex-glue 2021
4 BigBird 70.5 / 63.888.1 / 76.671.7 / 61.471.8 / 56.687.7 / 82.187.7 / 80.270.4 LexGLUE: A Benchmark Dataset for Legal Language Understanding in English coastalcph/lex-glue 2021
5 Longformer 69.6 / 62.488.0 / 77.872.2 / 62.571.9 / 56.787.7 / 82.387.7 / 80.172.0 LexGLUE: A Benchmark Dataset for Legal Language Understanding in English coastalcph/lex-glue 2021
6 RoBERTa 69.5 / 60.787.2 / 77.370.8 / 61.271.8 / 57.587.9 / 82.187.7 / 81.571.7 LexGLUE: A Benchmark Dataset for Legal Language Understanding in English coastalcph/lex-glue 2021
7 DeBERTa 69.1 / 61.287.4 / 77.370.0 / 60.072.3 / 57.287.9 / 82.087.2 / 78.872.1 LexGLUE: A Benchmark Dataset for Legal Language Understanding in English coastalcph/lex-glue 2021
8 Optimised SVM Baseline 66.3 / 55.076.0 / 65.474.4 / 64.565.7 / 49.088.0 / 82.6 The Unreasonable Effectiveness of the Baseline: Discussing SVMs in Legal Text Classification 2021
1–8 / 8 페이지당 10 20 50 100