Sequence-to-Set
Reported on 6 benchmarks across 1 task · 2 papers
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing6 results
- F1-Measure· 2022-03-2068.23best: 70.9 (PL-Marker)
- Precision· 2022-03-2067.37best: 71.2 (PL-Marker)
- Recall· 2022-03-2069.12best: 71.1 (NuNER)
- F1· 2021-05-1987.05best: 90.9 (Ours: cross-sentence ALB)
- F1· 2021-05-1987.26best: 90.3 (Ours: cross-sentence ALB)
- F1· 2021-05-1980.44best: 81.77 (PIQN)