@inproceedings{ji-smith-2017-neural,
title = "Neural Discourse Structure for Text Categorization",
author = "Ji, Yangfeng and
Smith, Noah A.",
editor = "Barzilay, Regina and
Kan, Min-Yen",
booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P17-1092",
doi = "10.18653/v1/P17-1092",
pages = "996--1005",
abstract = "We show that discourse structure, as defined by Rhetorical Structure Theory and provided by an existing discourse parser, benefits text categorization. Our approach uses a recursive neural network and a newly proposed attention mechanism to compute a representation of the text that focuses on salient content, from the perspective of both RST and the task. Experiments consider variants of the approach and illustrate its strengths and weaknesses.",
}
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%0 Conference Proceedings
%T Neural Discourse Structure for Text Categorization
%A Ji, Yangfeng
%A Smith, Noah A.
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F ji-smith-2017-neural
%X We show that discourse structure, as defined by Rhetorical Structure Theory and provided by an existing discourse parser, benefits text categorization. Our approach uses a recursive neural network and a newly proposed attention mechanism to compute a representation of the text that focuses on salient content, from the perspective of both RST and the task. Experiments consider variants of the approach and illustrate its strengths and weaknesses.
%R 10.18653/v1/P17-1092
%U https://aclanthology.org/P17-1092
%U https://doi.org/10.18653/v1/P17-1092
%P 996-1005
Markdown (Informal)
[Neural Discourse Structure for Text Categorization](https://aclanthology.org/P17-1092) (Ji & Smith, ACL 2017)
ACL
- Yangfeng Ji and Noah A. Smith. 2017. Neural Discourse Structure for Text Categorization. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 996–1005, Vancouver, Canada. Association for Computational Linguistics.