Metaphors in Text Simplification: To change or not to change, that is the question

Yulia Clausen, Vivi Nastase
2019 Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications  
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
more » ... ss 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.
doi:10.18653/v1/w19-4444 dblp:conf/bea/ClausenN19 fatcat:szwjsn2ud5aqnfuqfbmovecc5i