Feng, Yue;
(2025)
Knowledge Enhanced Task-oriented Dialogue Systems.
Doctoral thesis (Ph.D), UCL (University College London).
Preview |
Text
Feng_10203671_Thesis_sig_removed.pdf Download (3MB) | Preview |
Abstract
Task-oriented dialogue systems have gained significant attention in both academia and industry for their practical utility in assisting users with specific tasks within defined domains. Unlike open-domain systems, which focus on maximizing user engagement, task-oriented systems prioritize task completion. Existing research in this field can be broadly categorized into pipeline meth- ods and end-to-end approaches. While pipeline methods compartmentalize the system into modules such as Natural Language Understanding (NLU), Natural Language Generation (NLG), and User satisfaction Modeling (USM). End-to-end approaches utilize a single model for seamless processing. How- ever, integrating domain knowledge, including domain schema and domain documents, poses a significant challenge, hindering the effectiveness of these systems. With the emergence of large language models (LLMs), various strate- gies have been proposed to integrate common sense knowledge from LLMs to enhance system performance. This thesis explores different methodologies for integrating domain knowledge and common sense knowledge into task- oriented dialogue systems. Specifically, (1) we explore how to use the task schema knowledge to track dialogue state to enhance the natural language understanding ability of the task-oriented dialogue system; (2) we explore how to use task document knowledge to generate system responses to clar- ify users’ needs and user profile; (3) we explore how to effectively estimate the user satisfaction using domain knowledge to better simulate the user and evaluate the performance of the task-oriented dialogue system; (4) we explore how to use common scene knowledge in the LLMs to empower the end-to- end task-oriented dialogue system. Each methodology is discussed in detail, highlighting its contributions and experimental results.
Type: | Thesis (Doctoral) |
---|---|
Qualification: | Ph.D |
Title: | Knowledge Enhanced Task-oriented Dialogue Systems |
Open access status: | An open access version is available from UCL Discovery |
Language: | English |
Additional information: | Copyright © The Author 2025. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10203671 |




Archive Staff Only
![]() |
View Item |