Manuel J. Maña López

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This paper presents a freely available resource for research on handling negation and speculation in review texts. The SFU Review Corpus, consisting of 400 documents of movie, book, and consumer product reviews, was annotated at the token level with negative and speculative keywords and at the sentence level with their linguistic scope. We report statistics(More)
Detecting negative and speculative information is essential in most biomedical text-mining tasks where these language forms are used to express impressions, hypotheses, or explanations of experimental results. Our research is focused on developing a system based on machine-learning techniques that identifies negation and speculation signals and their scope(More)
A more and more generalized problem in effective information access is the presence in the same corpus of multiple documents that contain similar information. Generally, users may be interested in locating, for a topic addressed by a group of similar documents, one or several particular aspects. This kind of task, called instance or aspectual retrieval, has(More)
Nowadays many newspapers and news agencies offer personalized information access services and, moreover, there is a growing interest in the improvement of these services. In this paper we present a methodology useful to improve the intelligent personalization of news services and the way it has been applied to a Spanish relevant newspaper: ABC. Our(More)
This paper shows the experimentation and the results obtained for LABERINTO research group at the ImageCLEF 2011 medical task. We focus our work on image retrieval based on textual information related to the image. The initial hypothesis is that query expansion could improve the effectiveness of image retrieval systems. In this proposal, three different(More)
To cite: Crespo Azcárate M, Mata Vázquez J, Maña López M. J Am Med Inform Assoc 2013;20:1014–1020. ABSTRACT Objective We explored two strategies for query expansion utilizing medical subject headings (MeSH) ontology to improve the effectiveness of medical image retrieval systems. In order to achieve greater effectiveness in the expansion, the search text(More)
Resumen. En la actualidad los servicios de información presentes en la Web y en particular los periódicos digitales ofrecen a los usuarios una selección de documentos basada en criterios bastante simples que lleva a los usuarios a recibir una gran cantidad de información irrelevante. Nuestro trabajo pretende disminuir la sobrecarga de los usuarios de dos(More)