@inproceedings{zhuang-riloff-2020-exploring,
title = "Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions",
author = "Zhuang, Yuan and
Riloff, Ellen",
editor = "Rijhwani, Shruti and
Liu, Jiangming and
Wang, Yizhong and
Dror, Rotem",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.acl-srw.41",
doi = "10.18653/v1/2020.acl-srw.41",
pages = "306--312",
abstract = "Social media posts often contain questions, but many of the questions are rhetorical and do not seek information. Our work studies the problem of distinguishing rhetorical and information-seeking questions on Twitter. Most work has focused on features of the question itself, but we hypothesize that the prior context plays a role too. This paper introduces a new dataset containing questions in tweets paired with their prior tweets to provide context. We create classification models to assess the difficulty of distinguishing rhetorical and information-seeking questions, and experiment with different properties of the prior context. Our results show that the prior tweet and topic features can improve performance on this task.",
}
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%0 Conference Proceedings
%T Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions
%A Zhuang, Yuan
%A Riloff, Ellen
%Y Rijhwani, Shruti
%Y Liu, Jiangming
%Y Wang, Yizhong
%Y Dror, Rotem
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F zhuang-riloff-2020-exploring
%X Social media posts often contain questions, but many of the questions are rhetorical and do not seek information. Our work studies the problem of distinguishing rhetorical and information-seeking questions on Twitter. Most work has focused on features of the question itself, but we hypothesize that the prior context plays a role too. This paper introduces a new dataset containing questions in tweets paired with their prior tweets to provide context. We create classification models to assess the difficulty of distinguishing rhetorical and information-seeking questions, and experiment with different properties of the prior context. Our results show that the prior tweet and topic features can improve performance on this task.
%R 10.18653/v1/2020.acl-srw.41
%U https://aclanthology.org/2020.acl-srw.41
%U https://doi.org/10.18653/v1/2020.acl-srw.41
%P 306-312
Markdown (Informal)
[Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions](https://aclanthology.org/2020.acl-srw.41) (Zhuang & Riloff, ACL 2020)
ACL