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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, Gael
Moraliyski, Rumen
Cordeiro, Joao
Doucet, Antoine
Ahonen-Myka, Helena
Keywords: Synonymy
Language 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

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