Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling

NAACL 2019 Meishan ZhangPeili LiangGuohong Fu

Opinion role labeling (ORL) is an important task for fine-grained opinion mining, which identifies important opinion arguments such as holder and target for a given opinion trigger. The task is highly correlative with semantic role labeling (SRL), which identifies important semantic arguments such as agent and patient for a given predicate... (read more)

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Evaluation Results from the Paper


 SOTA for Fine-Grained Opinion Analysis on MPQA (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
COMPARE
Fine-Grained Opinion Analysis MPQA SRL-SAWR Holder Binary F1 84.91 # 1
Fine-Grained Opinion Analysis MPQA SRL-SAWR Target Binary F1 73.29 # 1