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2010

Automatic discovery of word semantic relations using paraphrase alignment and distributional lexical semantics analysis

9 years 29 days ago
Automatic discovery of word semantic relations using paraphrase alignment and distributional lexical semantics analysis
Thesauri, that list the most salient semantic relations between words have mostly been compiled manually. Therefore, the inclusion of an entry depends on the subjective decision of the lexicographer. As a consequence, those resources are usually incomplete. 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 differs from all other research presented so far as it tries to take the best of two different methodologies i.e. semantic space models and information extraction models. In particular, it can be applied to extract close semantic relations, it limits the search space to few, highly probable options and it is unsupervised.
Gaël Dias, Rumen Moraliyski, João Cord
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where NLE
Authors Gaël Dias, Rumen Moraliyski, João Cordeiro, Antoine Doucet, Helena Ahonen-Myka
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