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Stance classification with target-specific neural attention networks

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Du, Jiachen, Xu, Ruifeng, He, Yulan and Gui, Lin (2017) Stance classification with target-specific neural attention networks. In: Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, 19-25 Aug 2017. Published in: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI) pp. 3988-3994. ISBN 9780999241103. doi:10.24963/ijcai.2017/557

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Official URL: https://doi.org/10.24963/ijcai.2017/557

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Abstract

Stance classification, which aims at detecting the stance expressed in text towards a specific target, is an emerging problem in sentiment analysis. A major difference between stance classification and traditional aspect-level sentiment classification is that the identification of stance is dependent on target which might not be explicitly mentioned in text. This indicates that apart from text content, the target information is important to stance detection. To this end, we propose a neural network-based model, which incorporates target-specific information into stance classification by following a novel attention mechanism. In specific, the attention mechanism is expected to locate the critical parts of text which are related to target. Our evaluations on both the English and Chinese Stance Detection datasets show that the proposed model achieves the state-of-the-art performance.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Journal or Publication Title: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI)
Publisher: International Joint Conferences on Artificial Intelligence
ISBN: 9780999241103
Official Date: 25 August 2017
Dates:
DateEvent
25 August 2017Published
23 April 2017Accepted
Page Range: pp. 3988-3994
DOI: 10.24963/ijcai.2017/557
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Conference Paper Type: Paper
Title of Event: Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI)
Type of Event: Conference
Location of Event: Melbourne
Date(s) of Event: 19-25 Aug 2017
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