SIMTEX: An Approach for Detecting and Measuring Textual Similarity based on Discourse and Semantics
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| Format: | Artículo científico |
| Sprache: | en |
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Instituto Politécnico Nacional
2014
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| _version_ | 1876443899359133696 |
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| author | Iria da Cunha |
| author_facet | Iria da Cunha |
| contents | SIMTEX: An Approach for Detecting and Measuring Textual Similarity based on Discourse and Semantics Iria da Cunha Jorge Vivaldi Juan-Manuel Torres-Moreno Gerardo Sierra Computación discourse semantics paraphrase Textual similarity 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. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532067008 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.18 |
| format | Artículo científico |
| id | redalyc_61532067008 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | SIMTEX: An Approach for Detecting and Measuring Textual Similarity based on Discourse and Semantics Iria da Cunha Computación discourse semantics paraphrase Textual similarity SIMTEX: An Approach for Detecting and Measuring Textual Similarity based on Discourse and Semantics Iria da Cunha Jorge Vivaldi Juan-Manuel Torres-Moreno Gerardo Sierra Computación discourse semantics paraphrase Textual similarity 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. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532067008 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.18 |
| title | SIMTEX: An Approach for Detecting and Measuring Textual Similarity based on Discourse and Semantics |
| topic | Computación discourse semantics paraphrase Textual similarity |
| url | https://www.redalyc.org/articulo.oa?id=61532067008 |