Hierarchical Multi-task

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

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

Natural Language Processing2 results

Relation ExtractiononACE 2005
NER Micro F1· uses extra data· 2018-11-14
87.5
best: 91.3 (ASP+T5-3B)
SOTA
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks arXiv:1811.06031
Relation ExtractiononACE 2005
RE Micro F1· uses extra data· 2018-11-14
62.7
best: 73 (PL-Marker)
SOTA
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks arXiv:1811.06031