Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements
Venkata Govindarajan, Benjamin Van Durme, Aaron Steven White
Abstract
We present a novel semantic framework for modeling linguistic expressions of generalization— generic, habitual, and episodic statements—as combinations of simple, real-valued referential properties of predicates and their arguments. We use this framework to construct a dataset covering the entirety of the Universal Dependencies English Web Treebank. We use this dataset to probe the efficacy of type-level and token-level information—including hand-engineered features and static (GloVe) and contextual (ELMo) word embeddings—for predicting expressions of generalization.- Anthology ID:
- Q19-1035
- Volume:
- Transactions of the Association for Computational Linguistics, Volume 7
- Month:
- Year:
- 2019
- Address:
- Cambridge, MA
- Editors:
- Lillian Lee, Mark Johnson, Brian Roark, Ani Nenkova
- Venue:
- TACL
- SIG:
- Publisher:
- MIT Press
- Note:
- Pages:
- 501–517
- Language:
- URL:
- https://aclanthology.org/Q19-1035
- DOI:
- 10.1162/tacl_a_00285
- Cite (ACL):
- Venkata Govindarajan, Benjamin Van Durme, and Aaron Steven White. 2019. Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements. Transactions of the Association for Computational Linguistics, 7:501–517.
- Cite (Informal):
- Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements (Govindarajan et al., TACL 2019)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/Q19-1035.pdf
- Data
- ECB+, English Web Treebank, FrameNet