Fine Grained Opinion Analysis On Mpqa
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Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Holder Binary F1 | Target Binary F1 | Paper Title | Repository |
---|---|---|---|---|
SRL-SAWR | 84.91 | 73.29 | Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling | |
SyPtrTrans | - | - | Mastering the Explicit Opinion-role Interaction: Syntax-aided Neural Transition System for Unified Opinion Role Labeling | |
FS-MTL | 83.80 | 72.06 | SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role Labeling |
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