Biomedical event extraction using Kybots

  1. Casillas Rubio, Arantza
  2. Díaz de Ilarraza Sánchez, Arantza
  3. Gojenola Galletebeitia, Koldobika
  4. Oronoz Anchordoqui, Maite
  5. Rigau Claramunt, Germán
Zeitschrift:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Datum der Publikation: 2011

Nummer: 47

Seiten: 31-38

Art: Artikel

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Andere Publikationen in: Procesamiento del lenguaje natural

Zusammenfassung

Este artículo presenta la aplicación de un sistema general de Extracción de Información desarrollado para extraer conocimiento conceptual y factual de textos al dominio específico de la biomedicina. El sistema, previamente desarrollado durante el proyecto KYOTO, está basado en reglas, y es usado para la extracción de eventos biomédicos que implican proteínas y genes en textos anotados pertenecientes al BioNLP11 Shared Task.

Bibliographische Referenzen

  • Andreas Vlachos. Two Strong Baselines for the BioNLP 2009 Event Extraction Task. Proceedings of the 2010 Workshop on Biomedical Natural Language Processing. Association for Computational Linguistics Uppsala, Sweden, pp. 1–9., 2010
  • Eneko Agirre, Xabier Artola, Arantza Díaz de Ilarraza, German Rigau, Aitor Soroa,Wauter Bosma. KAF: Kyoto Annotation Format Tech. rep., University of the Basque Country, dept. Computer Science and Artificial Intelligence, Donostia-San Sebastian. 2009.
  • Jerry R. Hobbs, Douglas Appelt, John Bear, David Israel, Megumi Kameyama, Mark Stickel and Mabry Tyson. FASTUS: A cascaded finite-state transducer for extracting informat ion from naturallanguage text. Finite-State Language Processing, Cambridge, MA ,1997. MIT Press.
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  • Wauter Bosma, Piek Vossen, Aitor Soroa, German Rigau, Maurizio Tesconi, Andrea Marchetti, Monica Monachini and Carlo Aliprandi. KAF: a generic semantic annotation format Proceedings of the 5th International Conference on Generative Approaches to the Lexicon GL 2009 Pisa, Italy, September 17-19, 2009
Fuente de los datos: Dialnet