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Parsing Natural Language Conversations using Contextual Cues
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
In this work, we focus on semantic parsing of natural language conversations. Most existing methods for semantic parsing are based on understanding the semantics of a single sentence at a time. However, understanding conversations also requires an understanding of conversational context and discourse structure across sentences. We formulate semantic parsing of conversations as a structured prediction task, incorporating structural features that model the 'flow of discourse' across sequences of
doi:10.24963/ijcai.2017/571
dblp:conf/ijcai/SrivastavaAM17
fatcat:othzbjb3sneabi2dvectasym2q