@inproceedings{sanchez-carmona-etal-2020-intent,
title = "Intent Segmentation of User Queries Via Discourse Parsing",
author = "Sanchez Carmona, Vicente Ivan and
Yang, Yibing and
Wen, Ziyue and
Li, Ruosen and
Wang, Xiaohua and
Hu, Changjian",
editor = "Liu, Qun and
Xiong, Deyi and
Ge, Shili and
Zhang, Xiaojun",
booktitle = "Proceedings of the Second International Workshop of Discourse Processing",
month = dec,
year = "2020",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.iwdp-1.7",
pages = "38--47",
abstract = "In this paper, we explore a new approach based on discourse analysis for the task of intent segmentation. Our target texts are user queries from a real-world chatbot. Our results show the feasibility of our approach with an F1-score of 82.97 points, and some advantages and disadvantages compared to two machine learning baselines: BERT and LSTM+CRF.",
}
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%0 Conference Proceedings
%T Intent Segmentation of User Queries Via Discourse Parsing
%A Sanchez Carmona, Vicente Ivan
%A Yang, Yibing
%A Wen, Ziyue
%A Li, Ruosen
%A Wang, Xiaohua
%A Hu, Changjian
%Y Liu, Qun
%Y Xiong, Deyi
%Y Ge, Shili
%Y Zhang, Xiaojun
%S Proceedings of the Second International Workshop of Discourse Processing
%D 2020
%8 December
%I Association for Computational Linguistics
%C Suzhou, China
%F sanchez-carmona-etal-2020-intent
%X In this paper, we explore a new approach based on discourse analysis for the task of intent segmentation. Our target texts are user queries from a real-world chatbot. Our results show the feasibility of our approach with an F1-score of 82.97 points, and some advantages and disadvantages compared to two machine learning baselines: BERT and LSTM+CRF.
%U https://aclanthology.org/2020.iwdp-1.7
%P 38-47
Markdown (Informal)
[Intent Segmentation of User Queries Via Discourse Parsing](https://aclanthology.org/2020.iwdp-1.7) (Sanchez Carmona et al., iwdp 2020)
ACL
- Vicente Ivan Sanchez Carmona, Yibing Yang, Ziyue Wen, Ruosen Li, Xiaohua Wang, and Changjian Hu. 2020. Intent Segmentation of User Queries Via Discourse Parsing. In Proceedings of the Second International Workshop of Discourse Processing, pages 38–47, Suzhou, China. Association for Computational Linguistics.