Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
Author:
Affiliation:
1. The Chinese University of Hong Kong, Hong Kong, Hong Kong
Funder
Research Grant Council of the Hong Kong Special Administrative Region, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3340531.3411904
Reference42 articles.
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3. Long Chen Ziyu Guan Wei Zhao Wanqing Zhao Xiaopeng Wang Zhou Zhao and Huan Sun. 2019 a. Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks. In AAAI. 45--52. Long Chen Ziyu Guan Wei Zhao Wanqing Zhao Xiaopeng Wang Zhou Zhao and Huan Sun. 2019 a. Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks. In AAAI. 45--52.
4. Shiqian Chen Chenliang Li Feng Ji Wei Zhou and Haiqing Chen. 2019 b. Review-Driven Answer Generation for Product-Related Questions in E-Commerce. In WSDM. 411--419. Shiqian Chen Chenliang Li Feng Ji Wei Zhou and Haiqing Chen. 2019 b. Review-Driven Answer Generation for Product-Related Questions in E-Commerce. In WSDM. 411--419.
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