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Domain-Slot Relationship Modeling Using a Pre-Trained Language Encoder for Multi-Domain Dialogue State Tracking

  • Published:2022 Issue: Volume:30 Page:2091-2102
  • ISSN:2329-9290
  • Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
  • language:
  • Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

An Jinwon1ORCID,Cho Sungzoon1ORCID,Bang Junseong2,Kim Misuk3ORCID

Affiliation:

1. Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea

2. Electronics and Telecommunications Research Institute(ETRI), Daejeon, Republic of Korea

3. Department of Data Science, Sejong University, Seoul, Republic of Korea

Funder

Korean National Police Agency Pol-Bot Development for Conversational Police Knowledge Services

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Reference42 articles.

1. Multi-domain dialogue state tracking as dynamic knowledge graph enhanced question answering;zhou,2019

2. Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset

3. Pytorch: An imperative style, high-performance deep learning library;paszke;Proc Adv Neural Inf Process Syst,0

4. Huggingface’s transformers: State-of-the-art natural language processing;wolf,2019

5. MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling

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