Paper: Extracting Definitions and Hypernym Relations relying on Syntactic Dependencies and Support Vector Machines

ACL ID P13-2095
Title Extracting Definitions and Hypernym Relations relying on Syntactic Dependencies and Support Vector Machines
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

In this paper we present a technique to reveal definitions and hypernym relations from text. Instead of using pattern match- ing methods that rely on lexico-syntactic patterns, we propose a technique which only uses syntactic dependencies between terms extracted with a syntactic parser. The assumption is that syntactic informa- tion are more robust than patterns when coping with length and complexity of the sentences. Afterwards, we transform such syntactic contexts in abstract representa- tions, that are then fed into a Support Vector Machine classifier. The results on an annotated dataset of definitional sen- tences demonstrate the validity of our ap- proach overtaking current state-of-the-art techniques.