DSTEA: Improving Dialogue State Tracking via Entity Adaptive pre-training-Reference-Cited by-同舟云学术

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DSTEA: Improving Dialogue State Tracking via Entity Adaptive pre-training

Published:2024-04 Issue: Volume:290 Page:111542
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Lee Yukyung^ORCID,Kim Takyoung^ORCID,Yoon Hoonsang,Kang Pilsung^ORCID,Bang Junseong,Kim Misuk^ORCID

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Reference44 articles.

1. Recent advances and challenges in task-oriented dialog systems;Zhang;Science China Technological Sciences,2020

2. Efficient dialogue state tracking by selectively overwriting memory;Kim,2020

3. Transferable multi-domain state generator for task-oriented dialogue systems;Wu,2019

4. Get to the point: Summarization with pointer-generator networks;See,2017

5. Schema-guided multi-domain dialogue state tracking with graph attention neural networks;Chen;Proc. AAAI Conf. Artif. Intell.,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prompt-Based End-to-End Cross-Domain Dialogue State Tracking;Electronics;2024-09-10

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