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http://eprints.org/relation/isVersionOf https://eprints.rclis.org/id/document/2608 http://eprints.org/relation/isVolatileVersionOf https://eprints.rclis.org/id/document/2608 http://eprints.org/relation/isIndexCodesVersionOf https://eprints.rclis.org/id/document/2608 archive 195 disk0/00/00/58/43 2005-01-20 2014-10-02 12:00:11 2012-12-14 18:20:02 journale show Paz García Ingrid pub LM Expert systems, Information extraction system, Artificial intelligence, Natural language processing, Plant health. Sistemas expertos, Inteligencia artificial, Procesamiento del lenguaje natural, Sanidad vegetal Rules for process of extracting text information with abstracts of scientific information articles about plants pests control from Plan Health Research Institute were carried out automatically. For it’s develop, CRYSTAL system was taken as departure point. This system induces automatically throughout examples, rules gadgetry for text analysis in specific domains. The system developed to achieve the objective proposed was denominated SEISAV (Information Extraction System on Plant Health) 2004 Se confeccionaron automáticamente reglas que sirven para el proceso de extraer información de textos con resúmenes de artículos de información científica acerca de Control de Plagas de Plantas del Instituto de Investigaciones de Sanidad Vegetal. Para el desarrollo de la misma se tomó como punto de partida el sistema CRYSTAL, que induce automáticamente a través de ejemplos un conjunto de reglas para el análisis de textos en dominios específicos. El sistema desarrollado para lograr el objetivo propuesto fue denominado SEISAV (Sistema de Extracción de Información en Sanidad Vegetal). es es FALSE CU- http://hdl.handle.net/10760/5843 public Biblios 20 TRUE Appelt, D. E. y D. J. Israel. 1999. «Introduction to Information Extraction Technology. A tutorial prepared for IJCAI-99». Artificial Intelligence Center. SRI International. http://www.ai.mit.edu/people/jimmylin/papers/intro-to-ie.pdf Glickman, O. y Rosie Jones. 1999. Examining Machine Learning for Adaptable End-to-End Information Extraction Systems. [ml4ie.glickman&jones.pdf] AAAI-99. Workshop on Machine Learning for Information Extraction. USA. http://www.aaai.org/ Conferences/National/1999 Hernández, Z., J. Pérez y O. Santana. Extracción de Información._ España: Universidad de las Palmas de Gran Canaria. Grupo de Estructuras de Datos y Lingüística Computacional. http://www.gedlc.ulpgc.es/docencia/ seminarios/pln/Extraccion_de_informacion/sld032.htm Morales, Eduardo. Inteligencia Artificial. México: Instituto Tecnológico y de Estudios Superiores de Monterrey. Campus Morelos, 1999. w3.mor.itesm.mx/~emorales/Cursos/RdeC/node10.html. Ruíz, Rafael. El análisis documental: bases terminológicas, conceptualización y estructura operativa. España: Universidad de Granada, 1992. Soderland, S.; D. Fisher, J. Aseltine y Wendy Lehnert. 1995. Crystal: Inducing a Conceptual Dictionary. Proceedings of the fourteenth International Joint Conference on Artificial Intelligence. IJCAI-95. http://www-nlp.cs.umass.edu/ciir-pubs/soderland_ijcai95.pdf Soderland, S. 1997. Learning text analysis rules for domain-specific natural language processing. Submitted to the Graduate School of the University of Massachusetts Amherst in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Computer Science Department at the University of Massachusetts. Universidad de Sheffield. Information Extraction. Grupo de Procesamiento del Lenguaje Natural. Departamento de Ciencias de la Computación. 2002. http://nlp.shef.ac.uk/research/areas/ie.html info:eu-repo/semantics/other