Abstract
Narrative Why-Question Answering is an important task to assess the causal reasoning ability of systems in narrative settings. Further progress in this domain needs clear identification of challenges related to understanding the causal structure of narration. In this paper, we give an overview of the challenges related to both narrative understanding and why-question answering, because Narrative Why-Question Answering combines the characteristics of these domains. We also identify narrative QA datasets containing why-questions and analyze their characteristics through the lens of these challenges.- Anthology ID:
- 2022.gem-1.48
- Volume:
- Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates (Hybrid)
- Editors:
- Antoine Bosselut, Khyathi Chandu, Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, Yacine Jernite, Jekaterina Novikova, Laura Perez-Beltrachini
- Venue:
- GEM
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 520–530
- Language:
- URL:
- https://aclanthology.org/2022.gem-1.48
- DOI:
- 10.18653/v1/2022.gem-1.48
- Cite (ACL):
- Emil Kalbaliyev and Kairit Sirts. 2022. Narrative Why-Question Answering: A Review of Challenges and Datasets. In Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM), pages 520–530, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- Narrative Why-Question Answering: A Review of Challenges and Datasets (Kalbaliyev & Sirts, GEM 2022)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2022.gem-1.48.pdf