Abstract
We present an analysis of metaphors in news text simplification. Using features that capture general and metaphor specific characteristics, we test whether we can automatically identify which metaphors will be changed or preserved, and whether there are features that have different predictive power for metaphors or literal words. The experiments show that the Age of Acquisition is the most distinctive feature for both metaphors and literal words. Features that capture Imageability and Concreteness are useful when used alone, but within the full set of features they lose their impact. Frequency of use seems to be the best feature to differentiate metaphors that should be changed and those to be preserved.- Anthology ID:
- W19-4444
- Volume:
- Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Helen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch
- Venue:
- BEA
- SIG:
- SIGEDU
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 423–434
- Language:
- URL:
- https://aclanthology.org/W19-4444
- DOI:
- 10.18653/v1/W19-4444
- Cite (ACL):
- Yulia Clausen and Vivi Nastase. 2019. Metaphors in Text Simplification: To change or not to change, that is the question. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 423–434, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Metaphors in Text Simplification: To change or not to change, that is the question (Clausen & Nastase, BEA 2019)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W19-4444.pdf
- Data
- Newsela