Paper: Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics

ACL ID P13-1149
Title Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

Speakers of a language can construct an unlimited number of new words through morphological derivation. This is a major cause of data sparseness for corpus-based approaches to lexical semantics, such as distributional semantic models of word meaning. We adapt compositional meth- ods originally developed for phrases to the task of deriving the distributional meaning of morphologically complex words from their parts. Semantic representations con- structed in this way beat a strong baseline and can be of higher quality than represen- tations directly constructed from corpus data. Our results constitute a novel evalua- tion of the proposed composition methods, in which the full additive model achieves the best performance, and demonstrate the usefulness of a compositional morphology component ...