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Models/TM-Glove

TM-Glove

Reported on 7 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

  • Sentiment AnalysisonMR
    Accuracy· 2021-04-14
    77.51
    best: 93.3 (VLAWE)
    Enhancing Interpretable Clauses Semantically using Pretrained Word RepresentationarXiv:2104.06901
  • Text ClassificationonTREC-6
    Error· 2021-04-14
    9.96
    best: 0.4 (Automatic Label Error Correction)
    Enhancing Interpretable Clauses Semantically using Pretrained Word RepresentationarXiv:2104.06901
  • Text ClassificationonR52
    Accuracy· 2021-04-14
    89.14
    best: 96.6 (1-6 BertGCN)
    Enhancing Interpretable Clauses Semantically using Pretrained Word RepresentationarXiv:2104.06901
  • Text ClassificationonR8
    Accuracy· 2021-04-14
    97.5
    best: 98.451 (DeBERTa)
    Enhancing Interpretable Clauses Semantically using Pretrained Word RepresentationarXiv:2104.06901

Methodology3 results

  • ClassificationonTREC-6
    Error· 2021-04-14
    9.96
    best: 0.4 (Automatic Label Error Correction)
    Enhancing Interpretable Clauses Semantically using Pretrained Word RepresentationarXiv:2104.06901
  • ClassificationonR52
    Accuracy· 2021-04-14
    89.14
    best: 96.6 (1-6 BertGCN)
    Enhancing Interpretable Clauses Semantically using Pretrained Word RepresentationarXiv:2104.06901
  • ClassificationonR8
    Accuracy· 2021-04-14
    97.5
    best: 98.451 (DeBERTa)
    Enhancing Interpretable Clauses Semantically using Pretrained Word RepresentationarXiv:2104.06901