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      Stance Classification with Target-specific Neural Attention

      proceedings-article
      1 , 2 , 1 , 3 , 4 , 1
      Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-2017)
      Artificial Intelligence
      September 19, 2017 - September 26, 2017

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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.

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          Author and article information

          Conference
          August 2017
          August 2017
          : 3988-3994
          Affiliations
          [1 ]Laboratory of Network Oriented Intelligent Computation, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China
          [2 ]Department of Computing, the Hong Kong Polytechnic University, Hong Kong
          [3 ]Guangdong Provincial Engineering Technology Research Center for Data Science, Guangdong, China
          [4 ]School of Engineering and Applied Science, Aston University, United Kingdom
          Article
          10.24963/ijcai.2017/557
          62c9c91c-1485-47a2-a841-2534d8addbf3
          © 2017
          Twenty-Sixth International Joint Conference on Artificial Intelligence
          IJCAI-2017
          26
          Melbourne, Australia
          September 19, 2017 - September 26, 2017
          International Joint Conferences on Artificial Intelligence Organization (IJCAI)
          University of Technology Sydney (UTS)
          Australian Computer Society (ACS)
          Artificial Intelligence
          History

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