文章基本信息

标题：Genre-based Reference Chains Identification for French
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作者：Laurence Longo ; Amalia Todirascu
期刊名称：Investigationes Linguisticae (Online)
印刷版ISSN：1426-188X
电子版ISSN：1733-1757
出版年度：2017
卷号：21
页码：57
DOI：10.14746/il.2010.21.4
出版社：Adam Mickiewicz University
摘要：In this paper we present RefGen, a reference chains 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 chains identification.
其他关键词：reference chains identification, topic detection, coreference resolution