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Nineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop. In this task participants designed systems to identify substrings in sentences corresponding to gene name mentions. A variety of different methods were used and the results varied with a highest achieved F1 score of 0.8721. Here we present brief descriptions of all(More)
  • Francisco Carrero García, Enrique Puertas, José María, Gómez Hidalgo, Manuel Maña, Jacinto Mata
  • 2007
Text Classification tasks are becoming increasingly popular in the field of Information Access. Being approached as Machine Learning problems, the definition of suitable attributes for each task is approached in an ad-hoc way. We believe that a more principled framework is required, and we present initial insights on attribute engineering for Text(More)
  • Noa P Cruz, Manuel J Maña, Jacinto Mata, Bioscope, Este
  • 2010
In this paper, we present a machine learning system that identify the negation and speculation signals in biomedical texts, in particular, in the BioScope corpus. The objective of this research is to compare the efficiency of this approach focused on machine learning with which it is based on regular expressions. Among the systems that follow the latter(More)
  • Manuel De Buenaga, Diego Gachet, Manuel J Maña, Jacinto Mata, L Borrajo, E L Lorenzo +1 other
  • 2015
Resumen: El proyecto IPHealth tiene como principal objetivo diseñar e implementar una plataforma con servicios que permitan un acceso integrado e inteligente a la información relacionada en el entorno biomédico. Se proponen tres escenarios de uso: (i) la asistencia a los profesionales sanitarios durante el proceso de toma de decisiones en el ámbito clínico,(More)
  • Jacinto Mata, Ramón Santano, Daniel Blanco, Marcos Lucero, Manuel J Maña
  • 2011
Drug-Drug Interaction (DDI) extraction from the pharmacological literature is an emergent challenge in the text mining area. In this paper we describe a DDI extraction system based on a machine learning approach. We propose distinct solutions to deal with the high dimensionality of the problem and the unbalanced representation of classes in the dataset. On(More)
One of the areas which is presently awakening more interest among researchers and users of Information Retrieval systems is the retrieval of documents containing images which are relevant to a need for information. In this case, the main objective is not the retrieval of the documents relevant to the user's need for information, but the achievement of the(More)
  • Francisco Carrero, García José, María Gómez Hidalgo, Jacinto Mata, Manuel Maña López
  • 2007
One of the most promising approaches to Cross-Language Information Retrieval is the utilization of lexical-semantic resources for concept-indexing documents and queries. We have followed this approach in a proposal of an Information Access system designed for medicine professionals, aiming at easing the preparation of clinical cases, and the development of(More)
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