Memory state tracker:A memory network based dialogue state tracker

Wang, Di and O'Keefe, Simon orcid.org/0000-0001-5957-2474 (2021) Memory state tracker:A memory network based dialogue state tracker. In: Rocha, Ana Paula, Steels, Luc and van den Herik, Jaap, (eds.) ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence. 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, 04-06 Feb 2021 ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence. SciTePress, Virtual, Online, pp. 533-542.

Abstract

Dialogue State Tracking (DST) is a core component towards task oriented dialogue system. It fills manually-set slots at each turn of an utterance, which indicate the current topics or user requirement. In this work we propose a memory based state tracker that includes a memory encoder which encodes the dialogue history into a memory vector, and then connects to a pointer network which makes predictions. Our model reached a joint goal accuracy of 49.16% on MultiWOZ 2.0 data set (Budzianowski et al., 2018) and 47.27% on MultiWOZ 2.1 data set (Eric et al., 2019), outperforming the benchmark result.

Metadata

Item Type:	Proceedings Paper
Authors/Creators:	Wang, Di (dw1215@york.ac.uk) O'Keefe, Simon https://orcid.org/0000-0001-5957-2474
Editors:	Rocha, Ana Paula Steels, Luc van den Herik, Jaap
Copyright, Publisher and Additional Information:	© 2021 SCITEPRESS
Keywords:	Dialogue state tracker,Memory network
Dates:	Accepted: 1 November 2020 Published: 4 February 2021
Institution:	The University of York
Academic Units:	The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User:	Pure (York)
Date Deposited:	19 May 2023 13:40
Last Modified:	20 Sep 2025 02:43
Published Version:	https://doi.org/10.5220/0010385705330538
Status:	Published
Publisher:	SciTePress
Series Name:	ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence
Identification Number:	10.5220/0010385705330538
Related URLs:	http://www.scopus.com/inward/record.url?...
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:199375

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