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TSD
2007
Springer

Inducing Classes of Terms from Text

10 years 9 months ago
Inducing Classes of Terms from Text
This paper describes a clustering method for organizing in semantic classes a list of terms. The experiments were made using a POS annotated corpus, the ACL Anthology, which consists of technical articles in the field of Computational Linguistics. The method, mainly based on some assumptions of Formal Concept Analysis, consists in building bi-dimensional clusters of both terms and their lexico-syntactic contexts. Each generated cluster is defined as a semantic class with a set of terms describing the extension of the class and a set of contexts perceived as the intensional attributes (or properties) valid for all the terms in the n. The clustering process relies on two restrictive operations: abstraction and specification. The result is a concept lattice that describes a domain-specific ontology of terms.
Pablo Gamallo, Gabriel Pereira Lopes, Alexandre Ag
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where TSD
Authors Pablo Gamallo, Gabriel Pereira Lopes, Alexandre Agustini
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