Integrated Learning of Dialog Strategies and Semantic Parsing

Aishwarya Padmakumar, Jesse Thomason, Raymond J. Mooney


Abstract
Natural language understanding and dialog management are two integral components of interactive dialog systems. Previous research has used machine learning techniques to individually optimize these components, with different forms of direct and indirect supervision. We present an approach to integrate the learning of both a dialog strategy using reinforcement learning, and a semantic parser for robust natural language understanding, using only natural dialog interaction for supervision. Experimental results on a simulated task of robot instruction demonstrate that joint learning of both components improves dialog performance over learning either of these components alone.
Anthology ID:
E17-1052
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Editors:
Mirella Lapata, Phil Blunsom, Alexander Koller
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
547–557
Language:
URL:
https://aclanthology.org/E17-1052
DOI:
Bibkey:
Cite (ACL):
Aishwarya Padmakumar, Jesse Thomason, and Raymond J. Mooney. 2017. Integrated Learning of Dialog Strategies and Semantic Parsing. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 547–557, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
Integrated Learning of Dialog Strategies and Semantic Parsing (Padmakumar et al., EACL 2017)
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PDF:
https://aclanthology.org/E17-1052.pdf