Verb Physics: Relative Physical Knowledge of Actions and Objects

Maxwell Forbes, Yejin Choi


Abstract
Learning commonsense knowledge from natural language text is nontrivial due to reporting bias: people rarely state the obvious, e.g., “My house is bigger than me.” However, while rarely stated explicitly, this trivial everyday knowledge does influence the way people talk about the world, which provides indirect clues to reason about the world. For example, a statement like, “Tyler entered his house” implies that his house is bigger than Tyler. In this paper, we present an approach to infer relative physical knowledge of actions and objects along five dimensions (e.g., size, weight, and strength) from unstructured natural language text. We frame knowledge acquisition as joint inference over two closely related problems: learning (1) relative physical knowledge of object pairs and (2) physical implications of actions when applied to those object pairs. Empirical results demonstrate that it is possible to extract knowledge of actions and objects from language and that joint inference over different types of knowledge improves performance.
Anthology ID:
P17-1025
Volume:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
July
Year:
2017
Address:
Vancouver, Canada
Editors:
Regina Barzilay, Min-Yen Kan
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
266–276
Language:
URL:
https://aclanthology.org/P17-1025
DOI:
10.18653/v1/P17-1025
Bibkey:
Cite (ACL):
Maxwell Forbes and Yejin Choi. 2017. Verb Physics: Relative Physical Knowledge of Actions and Objects. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 266–276, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
Verb Physics: Relative Physical Knowledge of Actions and Objects (Forbes & Choi, ACL 2017)
Copy Citation:
PDF:
https://aclanthology.org/P17-1025.pdf
Video:
 https://aclanthology.org/P17-1025.mp4
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