Paper: Word Sense Induction for Novel Sense Detection

ACL ID E12-1060
Title Word Sense Induction for Novel Sense Detection
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

We apply topic modelling to automatically induce word senses of a target word, and demonstrate that our word sense induction method can be used to automatically de- tect words with emergent novel senses, as well as token occurrences of those senses. We start by exploring the utility of stan- dard topic models for word sense induction (WSI), with a pre-determined number of topics (=senses). We next demonstrate that a non-parametric formulation that learns an appropriate number of senses per word ac- tually performs better at the WSI task. We go on to establish state-of-the-art results over two WSI datasets, and apply the pro- posed model to a novel sense detection task.