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COLING
2010

Inducing Fine-Grained Semantic Classes via Hierarchical and Collective Classification

9 years 5 months ago
Inducing Fine-Grained Semantic Classes via Hierarchical and Collective Classification
Research in named entity recognition and mention detection has typically involved a fairly small number of semantic classes, which may not be adequate if semantic class information is intended to support natural language applications. Motivated by this observation, we examine the under-studied problem of semantic subtype induction, where the goal is to automatically determine which of a set of 92 fine-grained semantic classes a noun phrase belongs to. We seek to improve the standard supervised approach to this problem using two techniques: hierarchical classification and collective classification. Experimental results demonstrate the effectiveness of these techniques, whether or not they are applied in isolation or in combination with the standard approach.
Md. Altaf ur Rahman, Vincent Ng
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where COLING
Authors Md. Altaf ur Rahman, Vincent Ng
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