Abstract
Advances in word representations have shown tremendous improvements in downstream NLP tasks, but lack semantic interpretability. In this paper, we introduce Definition Frames (DF), a matrix distributed representation extracted from definitions, where each dimension is semantically interpretable. DF dimensions correspond to the Qualia structure relations: a set of relations that uniquely define a term. Our results show that DFs have competitive performance with other distributional semantic approaches on word similarity tasks.- Anthology ID:
- 2020.coling-main.273
- Volume:
- Proceedings of the 28th International Conference on Computational Linguistics
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain (Online)
- Editors:
- Donia Scott, Nuria Bel, Chengqing Zong
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 3060–3068
- Language:
- URL:
- https://aclanthology.org/2020.coling-main.273
- DOI:
- 10.18653/v1/2020.coling-main.273
- Cite (ACL):
- Evangelia Spiliopoulou, Artidoro Pagnoni, and Eduard Hovy. 2020. Definition Frames: Using Definitions for Hybrid Concept Representations. In Proceedings of the 28th International Conference on Computational Linguistics, pages 3060–3068, Barcelona, Spain (Online). International Committee on Computational Linguistics.
- Cite (Informal):
- Definition Frames: Using Definitions for Hybrid Concept Representations (Spiliopoulou et al., COLING 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.coling-main.273.pdf
- Code
- spilioeve/Definition-Frames