Graph Mining under Linguistic Constraints for Exploring Large Texts
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| Format: | Artículo científico |
| Sprache: | en |
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Instituto Politécnico Nacional
2013
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| _version_ | 1876456654310998016 |
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| author | Solen Quiniou |
| author_facet | Solen Quiniou |
| contents | Graph Mining under Linguistic Constraints for Exploring Large Texts Solen Quiniou Peggy Cellier Thierry Charnois Dominique Legallois Computación graph mining Text coherence graph representation Hoey’s linguistic model In this paper, we propose an approach to explore large texts by highlighting coherent sub-parts. The exploration method relies on a graph representation of the text according to Hoey’s linguistic model which allows the selection and the binding of adjacent and non-adjacent sentences. The main contribution of our work consists in proposing a method based on both Hoey’s linguistic model and a special graph mining technique, called CoHoP mining, to extract coherent sub-parts of the graph representation of the text. We have conducted some experiments on several English texts showing the interest of the proposed approach. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437014 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17 |
| format | Artículo científico |
| id | redalyc_61527437014 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Graph Mining under Linguistic Constraints for Exploring Large Texts Solen Quiniou Computación graph mining Text coherence graph representation Hoey’s linguistic model Graph Mining under Linguistic Constraints for Exploring Large Texts Solen Quiniou Peggy Cellier Thierry Charnois Dominique Legallois Computación graph mining Text coherence graph representation Hoey’s linguistic model In this paper, we propose an approach to explore large texts by highlighting coherent sub-parts. The exploration method relies on a graph representation of the text according to Hoey’s linguistic model which allows the selection and the binding of adjacent and non-adjacent sentences. The main contribution of our work consists in proposing a method based on both Hoey’s linguistic model and a special graph mining technique, called CoHoP mining, to extract coherent sub-parts of the graph representation of the text. We have conducted some experiments on several English texts showing the interest of the proposed approach. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437014 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17 |
| title | Graph Mining under Linguistic Constraints for Exploring Large Texts |
| topic | Computación graph mining Text coherence graph representation Hoey’s linguistic model |
| url | https://www.redalyc.org/articulo.oa?id=61527437014 |