BulDML at Institute of Mathematics and Informatics >
Proceedings >
REMIA 2010 >

Please use this identifier to cite or link to this item:

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.
ISBN: 9789544236489
Appears in Collections:REMIA 2010

Files in This Item:

File Description SizeFormat
s0 02. Dias,etc.pdf129.36 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0!   Creative Commons License