Abstract
This paper presents the evaluation setting for the SemEval-2010 Word Sense Induction (WSI) task. The setting of the SemEval-2007 WSI task consists of two evaluation schemes, i.e. unsupervised evaluation and supervised evaluation. The first one evaluates WSI methods in a similar fashion to Information Retrieval exercises using F-Score. However, F-Score suffers from the matching problem which does not allow: (1) the assessment of the entire membership of clusters, and (2) the evaluation of all clusters in a given solution. In this paper, we present the use of V-measure as a measure of objectively assessing WSI methods in an unsupervised setting, and we also suggest a small modification on the supervised evaluation.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
