Abstract
Dialogue state tracking (DST) aims to extract essential information from multi-turn dialogue situations and take appropriate actions. A belief state, one of the core pieces of information, refers to the subject and its specific content, and appears in the form of domain-slot-value. The trained model predicts “accumulated” belief states in every turn, and joint goal accuracy and slot accuracy are mainly used to evaluate the prediction; however, we specify that the current evaluation metrics have a critical limitation when evaluating belief states accumulated as the dialogue proceeds, especially in the most used MultiWOZ dataset. Additionally, we propose relative slot accuracy to complement existing metrics. Relative slot accuracy does not depend on the number of predefined slots, and allows intuitive evaluation by assigning relative scores according to the turn of each dialogue. This study also encourages not solely the reporting of joint goal accuracy, but also various complementary metrics in DST tasks for the sake of a realistic evaluation.
Original language | English |
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Title of host publication | ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Short Papers) |
Editors | Smaranda Muresan, Preslav Nakov, Aline Villavicencio |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 297-309 |
Number of pages | 13 |
ISBN (Electronic) | 9781955917223 |
Publication status | Published - 2022 |
Event | 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022 - Dublin, Ireland Duration: 2022 May 22 → 2022 May 27 |
Publication series
Name | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
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Volume | 2 |
ISSN (Print) | 0736-587X |
Conference
Conference | 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022 |
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Country/Territory | Ireland |
City | Dublin |
Period | 22/5/22 → 22/5/27 |
Bibliographical note
Publisher Copyright:© 2022 Association for Computational Linguistics.
ASJC Scopus subject areas
- Computer Science Applications
- Linguistics and Language
- Language and Linguistics