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EACL
2009
ACL Anthology

Using Lexical and Relational Similarity to Classify Semantic Relations

9 years 5 months ago
Using Lexical and Relational Similarity to Classify Semantic Relations
Many methods are available for computing semantic similarity between individual words, but certain NLP tasks require the comparison of word pairs. This paper presents a kernel-based framework for application to relational reasoning tasks of this kind. The model presented here combines information about two distinct types of word pair similarity: lexical similarity and relational similarity. We present an efficient and flexible technique for implementing relational similarity and show the effectiveness of combining lexical and relational models by demonstrating state-ofthe-art results on a compound noun interpretation task.
Ann A. Copestake, Diarmuid Ó Séaghdh
Added 24 Nov 2009
Updated 24 Nov 2009
Type Conference
Year 2009
Where EACL
Authors Ann A. Copestake, Diarmuid Ó Séaghdha
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