Integrate syntax information for target-oriented opinion words extraction with target-specific graph convolutional network

Author:

Zhang Jingyuan,Li Feng,Zhang Zequn,Xu Guangluan,Wang Yang,Wang Xinyi,Zhang Yunyan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

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2. L. Zhang, B. Liu, S. H. Lim, E. O’Brien-Strain, Extracting and ranking product features in opinion documents, in: COLING 2010, 23rd International Conference on Computational Linguistics, Posters Volume, 23–27 August 2010, Beijing, China, 2010, pp. 1462–1470. https://www.aclweb.org/anthology/C10-2167/.

3. W. Wang, S. J. Pan, D. Dahlmeier, X. Xiao, Coupled multi-layer attentions for co-extraction of aspect and opinion terms, in: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4–9, 2017, San Francisco, California, USA, 2017, pp. 3316–3322. http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14441.

4. Z. Fan, Z. Wu, X. Dai, S. Huang, J. Chen, Target-oriented opinion words extraction with target-fused neural sequence labeling, in: NAACL-HLT 2019, Minneapolis, MN, USA, June 2–7, 2019, Volume 1 (Long and Short Papers), 2019, pp. 2509–2518.

5. R. He, W. S. Lee, H. T. Ng, D. Dahlmeier, An interactive multi-task learning network for end-to-end aspect-based sentiment analysis, in: Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28–August 2, 2019, Volume 1: Long Papers, 2019, pp. 504–515. URL https://www.aclweb.org/anthology/P19-1048/

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