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A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues

By Zhouxing Shi and Minlie Huang
Discourse structures are beneficial for various NLP tasks such as dialogue understanding, question answering, sentiment analysis, and so on. This paper presents a deep sequential model for parsing discourse dependency structures of multi-party dialogues. The proposed model aims to construct a discourse dependency tree by predicting dependency relations and constructing... Show more
December 1, 2018
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A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
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