Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1469

 Title: Automatic Discovery of Word Semantic Relations Authors: Dias, GaelMoraliyski, RumenCordeiro, JoaoDoucet, AntoineAhonen-Myka, Helena Keywords: SynonymyLanguage Acquisition Issue Date: 22-Nov-2010 Publisher: University Press "Paisii Hilendarski", Plovdiv Abstract: In this paper, we propose an unsupervised methodology to automatically discover pairs of semantically related words by highlighting their local environment and evaluating their semantic similarity in local and global semantic spaces. This proposal di®ers from previous research as it tries to take the best of two different methodologies i.e. semantic space models and information extraction models. It can be applied to extract close semantic relations, it limits the search space and it is unsupervised. URI: http://hdl.handle.net/10525/1469 ISBN: 9789544236489 Appears in Collections: REMIA 2010

Files in This Item:

File Description SizeFormat