The Importance of Clustering in Word-Sense Induction

This electronic document is a “live” template and already We propose a novel spatial clustering score to evaluate word-sense clusters in for word-sense induction. The score is then evaluated using a basic word-sense induction-pipeline, containing a generally trained Word2Vec model and few selected adjustments, focused on cluster evaluation. We overhauled the former parameter score and propose the novel spatial clustering score to evaluate density-based spatial clujstering of applications with noise clusters and provide automatic parameter selection. Our method was evaluated on the SemEval 2010 Task 14 dataset, achieving results en-par with the state-of-the-art