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Models/multi-head

multi-head

Reported on 6 benchmarks across 1 task · 1 paper · 4 SOTA

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

Natural Language Processing6 results

  • Relation ExtractiononAdverse Drug Events (ADE) Corpus
    NER Macro F1· 2018-04-20
    86.4
    best: 91.5 (PFN (ALBERT XXL, average aggregation))
    SOTA
    Joint entity recognition and relation extraction as a multi-head selection problemarXiv:1804.07847
  • Relation ExtractiononAdverse Drug Events (ADE) Corpus
    RE+ Macro F1· 2018-04-20
    74.58
    best: 83.9 (PFN (ALBERT XXL, average aggregation))
    SOTA
    Joint entity recognition and relation extraction as a multi-head selection problemarXiv:1804.07847
  • Relation ExtractiononCoNLL04
    NER Macro F1· 2018-04-20
    83.9
    best: 87 (Deeper)
    SOTA
    Joint entity recognition and relation extraction as a multi-head selection problemarXiv:1804.07847
  • Relation ExtractiononCoNLL04
    RE+ Macro F1 · 2018-04-20
    62.04
    best: 76.65 (REBEL)
    SOTA
    Joint entity recognition and relation extraction as a multi-head selection problemarXiv:1804.07847
  • Relation ExtractiononACE 2004
    NER Micro F1· 2018-04-20
    81.16
    best: 90.4 (PL-Marker)
    Joint entity recognition and relation extraction as a multi-head selection problemarXiv:1804.07847
  • Relation ExtractiononACE 2004
    RE+ Micro F1· 2018-04-20
    47.14
    best: 66.5 (PL-Marker)
    Joint entity recognition and relation extraction as a multi-head selection problemarXiv:1804.07847