Memory State Tracker: A Memory Network based Dialogue State Tracker

Di Wang; Simon O’Keefe

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Memory State Tracker: A Memory Network based Dialogue State Tracker

Topics: Machine Learning of Language; Models of Computation and Algorithms for Natural Language Processing

In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI, 533-538, 2021 , Vienna, Austria

Authors: Di Wang and Simon O’Keefe

Affiliation: Department of Computer Science, University of York, Heslington, York, U.K.

Keyword(s): Dialogue State Tracker, Memory Network.

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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.191.191.65

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Wang, D. and O’Keefe, S. (2021). Memory State Tracker: A Memory Network based Dialogue State Tracker. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 533-538. DOI: 10.5220/0010385705330538

@conference{nlpinai21,
author={Di Wang and Simon O’Keefe},
title={Memory State Tracker: A Memory Network based Dialogue State Tracker},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI},
year={2021},
pages={533-538},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010385705330538},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI
TI - Memory State Tracker: A Memory Network based Dialogue State Tracker
SN - 978-989-758-484-8
IS - 2184-433X
AU - Wang, D.
AU - O’Keefe, S.
PY - 2021
SP - 533
EP - 538
DO - 10.5220/0010385705330538
PB - SciTePress