Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network
Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou
Abstract
In the literature, existing studies on aspect sentiment classification (ASC) focus on individual non-interactive reviews. This paper extends the research to interactive reviews and proposes a new research task, namely Aspect Sentiment Classification towards Question-Answering (ASC-QA), for real-world applications. This new task aims to predict sentiment polarities for specific aspects from interactive QA style reviews. In particular, a high-quality annotated corpus is constructed for ASC-QA to facilitate corresponding research. On this basis, a Reinforced Bidirectional Attention Network (RBAN) approach is proposed to address two inherent challenges in ASC-QA, i.e., semantic matching between question and answer, and data noise. Experimental results demonstrate the great advantage of the proposed approach to ASC-QA against several state-of-the-art baselines.- Anthology ID:
- P19-1345
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Anna Korhonen, David Traum, Lluís Màrquez
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3548–3557
- Language:
- URL:
- https://aclanthology.org/P19-1345
- DOI:
- 10.18653/v1/P19-1345
- Cite (ACL):
- Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, and Guodong Zhou. 2019. Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 3548–3557, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network (Wang et al., ACL 2019)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/P19-1345.pdf