LabelGCN Xiong et al. (2019)

Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA

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

Natural Language Processing3 results

Entity TypingonOntonotes v5 (English)
F1· 2019-03-06
36.9
best: 49.1 (MLMET)
SOTA
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing arXiv:1903.02591
Entity TypingonOntonotes v5 (English)
Precision· 2019-03-06
50.3
best: 53.6 (MLMET)
SOTA
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing arXiv:1903.02591
Entity TypingonOntonotes v5 (English)
Recall· 2019-03-06
29.2
best: 45.3 (MLMET)
SOTA
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing arXiv:1903.02591