Conversational Semantic Parsing for Dialog State Tracking

• URL: http://arxiv.org/abs/2010.12770v3
• Date: Thu, 13 May 2021 18:02:43 GMT
• Title: Conversational Semantic Parsing for Dialog State Tracking
• Authors: Jianpeng Cheng, Devang Agrawal, Hector Martinez Alonso, Shruti Bhargava, Joris Driesen, Federico Flego, Shaona Ghosh, Dain Kaplan, Dimitri Kartsaklis, Lin Li, Dhivya Piraviperumal, Jason D Williams, Hong Yu, Diarmuid O Seaghdha, Anders Johannsen
• Abstract summary: We consider a new perspective on dialog state tracking (DST), the task of estimating a user's goal through the course of a dialog. We present TreeDST, a dataset of 27k conversations annotated with tree-structured dialog states and system acts.
• Score: 7.739184049716928
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We consider a new perspective on dialog state tracking (DST), the task of estimating a user's goal through the course of a dialog. By formulating DST as a semantic parsing task over hierarchical representations, we can incorporate semantic compositionality, cross-domain knowledge sharing and co-reference. We present TreeDST, a dataset of 27k conversations annotated with tree-structured dialog states and system acts. We describe an encoder-decoder framework for DST with hierarchical representations, which leads to 20% improvement over state-of-the-art DST approaches that operate on a flat meaning space of slot-value pairs.

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