Active discovering new slots for task-oriented conversation

Active discovering new slots for task-oriented conversation

Existing task-oriented conversational systems heavily rely on domain ontologies with pre-defined slots and candidate values. In practical settings, these prerequisites are hard to meet, due to the emerging new user requirements and ever-changing scenarios. To mitigate these issues for better interac...

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Bibliographic Details
Main Authors: WU, Yuxia, DAI, Tianhao, ZHENG, Zhedong, LIAO, Lizi
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
active learning
Information retrieval
Labeling
language processing
New slot discovery
Noise measurement
Ontologies
Redundancy
Task analysis
task-oriented conversation
Uncertainty
Artificial Intelligence and Robotics
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/8700
https://ink.library.smu.edu.sg/context/sis_research/article/9703/viewcontent/ActivelyDiscoveringNewSlots_av.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/8700
https://ink.library.smu.edu.sg/context/sis_research/article/9703/viewcontent/ActivelyDiscoveringNewSlots_av.pdf

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