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2022 AAAI AAAI 2022

A Multi-Factor Classification Framework for Completing Users’ Fuzzy Queries (Student Abstract)

Abstract

Abstract Intent identification is the key technology in dialogue system. However, not all online queries are clear or complete. To identify users' intents from those fuzzy queries accurately, this paper proposes a multi-factor classification framework on the query level. Experimental results on our online serving system JIMI demonstrate the effectiveness of our proposed framework.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Yaning Zhang, Liangqing Wu, Yangyang Wang, Jia Wang, Xiaoguang Yu, Shuangyong Song, Youzheng Wu, Xiaodong He

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Core Methods > Classification Natural Language Processing > Applications > Intent Classification Artificial Intelligence > Core AI > Dialogue Systems

Keywords

intent classification query understanding dialogue system intent identification query classification
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