Paper: Derivational Smoothing for Syntactic Distributional Semantics

ACL ID P13-2128
Title Derivational Smoothing for Syntactic Distributional Semantics
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

Syntax-based vector spaces are used widely in lexical semantics and are more versatile than word-based spaces (Baroni and Lenci, 2010). However, they are also sparse, with resulting reliability and coverage problems. We address this problem by derivational smoothing, which uses knowledge about derivationally related words (oldish? old) to improve semantic similarity estimates. We develop a set of derivational smoothing methods and evaluate them on two lexical semantics tasks in German. Even for mod- els built from very large corpora, simple derivational smoothing can improve cover- age considerably.