Title :
RefGen: A tool for reference chains identification
Author :
Longo, Laurence ; Todirascu, Amalia
Author_Institution :
LilPa, Univ. de Strasbourg, Strasbourg, France
Abstract :
In this paper we present RefGen, a reference chain identification module for French. RefGen algorithm uses genre specific properties of reference chains and an accessibility measure to find the mentions of the referred entity. The module applies strong and weak constraints (lexical, morpho-syntactic, and semantic) to automatically identify coreference relations between referential expressions. We evaluate the results obtained by RefGen from a public reports corpus and we discuss the importance of the genre-dependent parameters to improve the reference chain identification.
Keywords :
natural language processing; French; RefGen algorithm; genre specific properties; reference chains identification; Computer architecture; Editorials; Law; Organizations; Pragmatics; Semantics; Syntactics;
Conference_Titel :
Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on
Conference_Location :
Wisla
Print_ISBN :
978-1-4244-6432-6
DOI :
10.1109/IMCSIT.2010.5679923