Cai and Lam

Reported on 2 benchmarks across 2 tasks · 2 papers · 2 SOTA

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

Natural Language Processing4 results

Semantic ParsingonLDC2017T10
Smatch· 2020-04-12
80.2
best: 86.7 (StructBART + MBSE (IBM))
SOTA
AMR Parsing via Graph-Sequence Iterative Inference arXiv:2004.05572
AMR ParsingonLDC2017T10
Smatch· 2020-04-12
80.2
best: 86.7 (StructBART + MBSE (IBM))
SOTA
AMR Parsing via Graph-Sequence Iterative Inference arXiv:2004.05572
Semantic ParsingonLDC2017T10
Smatch· 2019-09-10
73.2
best: 86.7 (StructBART + MBSE (IBM))
Core Semantic First: A Top-down Approach for AMR Parsing arXiv:1909.04303
AMR ParsingonLDC2017T10
Smatch· 2019-09-10
73.2
best: 86.7 (StructBART + MBSE (IBM))
Core Semantic First: A Top-down Approach for AMR Parsing arXiv:1909.04303