BiBL+Silver

Reported on 4 benchmarks across 2 tasks

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· uses extra data
84.7
best: 86.7 (StructBART + MBSE (IBM))
Semantic ParsingonLDC2020T02
Smatch· uses extra data
83.5
best: 85.4 (Graphene Smatch (MBSE paper) (IBM))
AMR ParsingonLDC2017T10
Smatch· uses extra data
84.7
best: 86.7 (StructBART + MBSE (IBM))
AMR ParsingonLDC2020T02
Smatch· uses extra data
83.5
best: 85.4 (Graphene Smatch (MBSE paper) (IBM))