ML Anthology

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

Yaning Zhang, Liangqing Wu, Yangyang Wang, Jia Wang, Xiaoguang Yu, Shuangyong Song, Youzheng Wu, Xiaodong He
AAAI 2022 pp. 13113-13114
doi:10.1609/AAAI.V36I11.21693 /aaai/2022/zhang2022aaai-multi-c/

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.

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Cite

Text

Zhang et al. "A Multi-Factor Classification Framework for Completing Users' Fuzzy Queries (Student Abstract)." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21693

Markdown

[Zhang et al. "A Multi-Factor Classification Framework for Completing Users' Fuzzy Queries (Student Abstract)." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/zhang2022aaai-multi-c/) doi:10.1609/AAAI.V36I11.21693

BibTeX

@inproceedings{zhang2022aaai-multi-c,
  title     = {{A Multi-Factor Classification Framework for Completing Users' Fuzzy Queries (Student Abstract)}},
  author    = {Zhang, Yaning and Wu, Liangqing and Wang, Yangyang and Wang, Jia and Yu, Xiaoguang and Song, Shuangyong and Wu, Youzheng and He, Xiaodong},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {13113-13114},
  doi       = {10.1609/AAAI.V36I11.21693},
  url       = {https://mlanthology.org/aaai/2022/zhang2022aaai-multi-c/}
}