Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation
Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao
Abstract
Introducing common sense to natural language understanding systems has received increasing research attention. It remains a fundamental question on how to evaluate whether a system has the sense-making capability. Existing benchmarks measure common sense knowledge indirectly or without reasoning. In this paper, we release a benchmark to directly test whether a system can differentiate natural language statements that make sense from those that do not make sense. In addition, a system is asked to identify the most crucial reason why a statement does not make sense. We evaluate models trained over large-scale language modeling tasks as well as human performance, showing that there are different challenges for system sense-making.- Anthology ID:
- P19-1393
- 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:
- 4020–4026
- Language:
- URL:
- https://aclanthology.org/P19-1393
- DOI:
- 10.18653/v1/P19-1393
- Cite (ACL):
- Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, and Tian Gao. 2019. Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4020–4026, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation (Wang et al., ACL 2019)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/P19-1393.pdf
- Code
- wangcunxiang/Sen-Making-and-Explanation + additional community code
- Data
- COPA, ConceptNet, WSC