Por favor, use este identificador para citar o enlazar este ítem:
http://repositoriodigital.ipn.mx/handle/123456789/16621
Título : | Detecting Salient Events in Large Corpora by a Combination of NLP and Data Mining Techniques |
Otros títulos : | Detección de destacados eventos en un corpus grande combinando técnicas para PLN y minería de datos |
Autor : | Battistelli, Delphine Charnois, Thierry Luc Minel, Jean Teissèdre, Charles |
Palabras clave : | Keywords. Dates, temporal adverbials, event extraction, sequential pattern. |
Fecha de publicación : | 7-jun-2013 |
Editorial : | Revista Computación y Sistemas; Vol. 17 No.2 |
Citación : | Revista Computación y Sistemas; Vol. 17 No.2 |
Citación : | Revista Computación y Sistemas;Vol. 17 No.2 |
Resumen : | Abstract. In this paper, we present a framework and a system that extracts “salient” events relevant to a query from a large collection of documents, and which also enables events to be placed along a timeline. Each event is represented by a sentence extracted from the collection. We have conducted some experiments showing the interest of the method for this issue. Our method is based on a combination of linguistic modeling (concerning temporal adverbial meanings), symbolic natural language processing techniques (using cascades of morpho-lexical transducers) and data mining techniques (namely, sequential pattern mining under constraints). The system was applied to a corpus of newswires in French provided by the Agence France Presse (AFP). Evaluation was performed in partnership with French newswire agency journalists. |
URI : | http://www.repositoriodigital.ipn.mx/handle/123456789/16621 |
ISSN : | 1405-5546 |
Aparece en las colecciones: | Revistas |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
229_ART 12.pdf | 508.86 kB | Adobe PDF | Visualizar/Abrir |
Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.