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Models/AMRBART large

AMRBART large

Reported on 10 benchmarks across 2 tasks · 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 Processing10 results

  • Semantic ParsingonThe Little Prince
    Smatch· uses extra data· 2022-03-15
    79.8
    SOTA
    Graph Pre-training for AMR Parsing and GenerationarXiv:2203.07836
  • Semantic ParsingonNew3
    Smatch· uses extra data· 2022-03-15
    76.9
    SOTA
    Graph Pre-training for AMR Parsing and GenerationarXiv:2203.07836
  • AMR ParsingonThe Little Prince
    Smatch· uses extra data· 2022-03-15
    79.8
    SOTA
    Graph Pre-training for AMR Parsing and GenerationarXiv:2203.07836
  • AMR ParsingonNew3
    Smatch· uses extra data· 2022-03-15
    76.9
    SOTA
    Graph Pre-training for AMR Parsing and GenerationarXiv:2203.07836
  • Semantic ParsingonLDC2017T10
    Smatch· uses extra data· 2022-03-15
    85.4
    best: 86.7 (StructBART + MBSE (IBM))
    Graph Pre-training for AMR Parsing and GenerationarXiv:2203.07836
  • Semantic ParsingonLDC2020T02
    Smatch· uses extra data· 2022-03-15
    84.2
    best: 85.4 (Graphene Smatch (MBSE paper) (IBM))
    Graph Pre-training for AMR Parsing and GenerationarXiv:2203.07836
  • Semantic ParsingonBio
    Smatch· uses extra data· 2022-03-15
    63.2
    best: 66.9 (StructBART + MBSE (IBM))
    Graph Pre-training for AMR Parsing and GenerationarXiv:2203.07836
  • AMR ParsingonLDC2017T10
    Smatch· uses extra data· 2022-03-15
    85.4
    best: 86.7 (StructBART + MBSE (IBM))
    Graph Pre-training for AMR Parsing and GenerationarXiv:2203.07836
  • AMR ParsingonLDC2020T02
    Smatch· uses extra data· 2022-03-15
    84.2
    best: 85.4 (Graphene Smatch (MBSE paper) (IBM))
    Graph Pre-training for AMR Parsing and GenerationarXiv:2203.07836
  • AMR ParsingonBio
    Smatch· uses extra data· 2022-03-15
    63.2
    best: 66.9 (StructBART + MBSE (IBM))
    Graph Pre-training for AMR Parsing and GenerationarXiv:2203.07836