Abstract
We study the problem of opinion question generation from sentences with the help of community-based question answering systems. For this purpose, we use a sequence to sequence attentional model, and we adopt coverage mechanism to prevent sentences from repeating themselves. Experimental results on the Amazon question/answer dataset show an improvement in automatic evaluation metrics as well as human evaluations from the state-of-the-art question generation systems.- Anthology ID:
- W18-6518
- Volume:
- Proceedings of the 11th International Conference on Natural Language Generation
- Month:
- November
- Year:
- 2018
- Address:
- Tilburg University, The Netherlands
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 152–158
- Language:
- URL:
- https://aclanthology.org/W18-6518
- DOI:
- 10.18653/v1/W18-6518
- Cite (ACL):
- Yllias Chali and Tina Baghaee. 2018. Automatic Opinion Question Generation. In Proceedings of the 11th International Conference on Natural Language Generation, pages 152–158, Tilburg University, The Netherlands. Association for Computational Linguistics.
- Cite (Informal):
- Automatic Opinion Question Generation (Chali & Baghaee, INLG 2018)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W18-6518.pdf
- Code
- Tina-19/Question-Generation