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arXiv · 2010.12770

Conversational Semantic Parsing for Dialog State Tracking

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
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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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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. 2020-10-24. Conversational Semantic Parsing for Dialog State Tracking. https://arxiv.org/abs/2010.12770

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