Paper: unimelb: Topic Modelling-based Word Sense Induction

ACL ID S13-2051
Title unimelb: Topic Modelling-based Word Sense Induction
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper describes our system for shared task 13 ?Word Sense Induction for Graded and Non-Graded Senses? of SemEval-2013. The task is on word sense induction (WSI), and builds on earlier SemEval WSI tasks in ex- ploring the possibility of multiple senses be- ing compatible to varying degrees with a sin- gle contextual instance: participants are asked to grade senses rather than selecting a sin- gle sense like most word sense disambigua- tion (WSD) settings. The evaluation measures are designed to assess how well a system per- ceives the different senses in a contextual in- stance. We adopt a previously-proposed WSI methodology for the task, which is based on a Hierarchical Dirichlet Process (HDP), a non- parametric topic model. Our system requires no parameter tuning, uses the English uk...