Automatic knowledge representation using a graph-based algorithm for language-independent lexical chaining

Authors:
Gaël Dias;Cláudia Santos;Guillaume Cleuziou
Affiliations:
University of Beira Interior, Covilhā, Portugal;University of Beira Interior, Covilhā, Portugal;University of Orléans, Orléans, France
Venue:
IEBeyondDoc '06 Proceedings of the Workshop on Information Extraction Beyond The Document
Year:
2006

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Abstract

Lexical Chains are powerful representations of documents. In particular, they have successfully been used in the field of Automatic Text Summarization. However, until now, Lexical Chaining algorithms have only been proposed for English. In this paper, we propose a greedy Language-Independent algorithm that automatically extracts Lexical Chains from texts. For that purpose, we build a hierarchical lexico-semantic knowledge base from a collection of texts by using the Pole-Based Overlapping Clustering Algorithm. As a consequence, our methodology can be applied to any language and proposes a solution to language-dependent Lexical Chainers.