文章基本信息

标题：SIMTEX: An Approach for Detecting and Measuring Textual Similarity based on Discourse and Semantics
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作者：Iria da Cunha ; Jorge Vivaldi ; Juan-Manuel Torres-Moreno 等
期刊名称：Computación y Sistemas
印刷版ISSN：1405-5546
出版年度：2014
卷号：18
期号：3
页码：505-516
语种：English
出版社：Instituto Politécnico Nacional
其他摘要：Nowadays automatic systems for detecting and measuring textual similarity are being developed, in order to apply them to different tasks in the field of Natural Language Processing (NLP). Currently, these systems use surface linguistic features or statistical infor- mation. Nowadays, few researchers use deep linguistic information. In this work, we present an algorithm for detecting and measuring textual similarity that takes into account information offered by discourse relations of Rhetorical Structure Theory (RST), and lexical-semantic relations included in EuroWordNet. We apply the algo- rithm, called SIMTEX, to texts written in Spanish, but the methodology is potentially language-independent.
关键词：Textual similarity; discourse; semantics; paraphrase