This paper describes a clustering method for organizing in semantic classes a list of terms. The experiments were made using a
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 extension. The clustering process relies on two restrictive operations:
. The result is a concept lattice that describes a domain-specific ontology of terms.
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