Paper: SPred: Large-scale Harvesting of Semantic Predicates

ACL ID P13-1120
Title SPred: Large-scale Harvesting of Semantic Predicates
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

We present SPred, a novel method for the creation of large repositories of semantic predicates. We start from existing colloca- tions to form lexical predicates (e.g., break ?) and learn the semantic classes that best fit the ? argument. To do this, we extract all the occurrences in Wikipedia which match the predicate and abstract its argu- ments to general semantic classes (e.g., break BODY PART, break AGREEMENT, etc.). Our experiments show that we are able to create a large collection of seman- tic predicates from the Oxford Advanced Learner?s Dictionary with high precision and recall, and perform well against the most similar approach.