Corpus ID: 237635233

CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling

@inproceedings{Wu2021CSAGNCS,
  title={CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling},
  author={Han Wu and Kun Xu and Linqi Song},
  booktitle={EMNLP},
  year={2021}
}
  • Han Wu, Kun Xu, Linqi Song
  • Published in EMNLP 23 September 2021
  • Computer Science
Conversational semantic role labeling (CSRL) is believed to be a crucial step towards dialogue understanding. However, it remains a major challenge for existing CSRL parser to handle conversational structural information. In this paper, we present a simple and effective architecture for CSRL which aims to address this problem. Our model is based on a conversational structure-aware graph network which explicitly encodes the speaker dependent information. We also propose a multi-task learning… Expand

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