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Models/BiLSTM-CRF

BiLSTM-CRF

Reported on 8 benchmarks across 5 tasks · 5 papers · 4 SOTA

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

Natural Language Processing7 results

  • Dependency ParsingonGENIA - UAS
    F1· 2018-08-11
    92.84
    SOTA
    From POS tagging to dependency parsing for biomedical event extractionarXiv:1808.03731
  • Dependency ParsingonGENIA - LAS
    F1· 2018-08-11
    91.92
    SOTA
    From POS tagging to dependency parsing for biomedical event extractionarXiv:1808.03731
  • Named Entity Recognition (NER)onOntonotes v5 (English)
    F1· 2017-02-07
    86.99
    best: 92.07 (BERT-MRC+DSC)
    SOTA
    Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsarXiv:1702.02098
  • Named Entity Recognition (NER)onFindVehicle
    F1 Score· 2015-08-09
    49.5
    best: 80.9 (FLERT)
    SOTA
    Bidirectional LSTM-CRF Models for Sequence TaggingarXiv:1508.01991
  • Named Entity Recognition (NER)onBioRED
    F1· 2022-04-08
    87.1
    best: 89.3 (PubMedBERT-CRF)
    BioRED: A Rich Biomedical Relation Extraction DatasetarXiv:2204.04263
  • ChunkingonCoNLL 2000
    Exact Span F1· 2017-11-14
    95.18
    best: 97.3 (ACE)
    Robust Multilingual Part-of-Speech Tagging via Adversarial TrainingarXiv:1711.04903
  • Shallow SyntaxonCoNLL 2000
    Exact Span F1· 2017-11-14
    95.18
    best: 97.3 (ACE)
    Robust Multilingual Part-of-Speech Tagging via Adversarial TrainingarXiv:1711.04903

Methodology1 result

  • ClassificationonMedSecId
    1 shot Micro-F1
    82.2
    best: 96.86 (GPT-4)