Top-down Span-based Parser with Silver Agreement Subtrees

Reported on 4 benchmarks across 1 task

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

Natural Language Processing4 results

  • Discourse ParsingonRST-DT
    RST-Parseval (Full)· uses extra data
    61.8
    best: 62.6 (Top-down Span-based Parser with Silver Agreement Subtrees (ensemble))
  • Discourse ParsingonRST-DT
    RST-Parseval (Nuclearity)· uses extra data
    74.7
    best: 76 (End-to-end Top-down (XLNet))
  • Discourse ParsingonRST-DT
    RST-Parseval (Relation)· uses extra data
    62.5
    best: 63.2 (Top-down Span-based Parser with Silver Agreement Subtrees (ensemble))
  • Discourse ParsingonRST-DT
    RST-Parseval (Span)· uses extra data
    86.8
    best: 87.6 (End-to-end Top-down (XLNet))