Paper: Predicting Relative Prominence in Noun-Noun Compounds

ACL ID P11-2107
Title Predicting Relative Prominence in Noun-Noun Compounds
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

There are several theories regarding what in- fluences prominence assignment in English noun-noun compounds. We have developed corpus-driven models for automatically pre- dicting prominence assignment in noun-noun compounds using feature sets based on two such theories: the informativeness theory and the semantic composition theory. The eval- uation of the prediction models indicate that thoughbothofthesetheoriesarerelevant, they account for different types of variability in prominence assignment.