SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling

NAACL 2018 Ana Marasovi{\'c}Anette Frank

For over a decade, machine learning has been used to extract opinion-holder-target structures from text to answer the question {``}Who expressed what kind of sentiment towards what?{''}. Recent neural approaches do not outperform the state-of-the-art feature-based models for Opinion Role Labeling (ORL)... (read more)

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