FS-MTL

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

Sentiment AnalysisonMPQA
Holder Binary F1· uses extra data· 2017-11-02
83.8
best: 84.91 (SRL-SAWR)
SOTA
SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role Labeling arXiv:1711.00768
Sentiment AnalysisonMPQA
Target Binary F1· uses extra data· 2017-11-02
72.06
best: 73.29 (SRL-SAWR)
SOTA
SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role Labeling arXiv:1711.00768