Manuel Carlos Díaz-Galiano

Query expansion with a medical ontology to improve a multimodal information retrieval system

Manuel Carlos Díaz-Galiano, Maria Teresa Martín-Valdivia, Luis Alfonso Ureña López
Comp. in Bio. and Med.
2009

Searching biomedical information in a large collection of medical data is a complex task. The use of tools and biomedical resources could ease the retrieval of the information desired. In this paper,… (More)

Integrating MeSH Ontology to Improve Medical Information Retrieval

This paper describes the SINAI team participation in the ImageCLEFmed campaign. The SINAI research group has participated in the multilingual image retrieval subtask. The experiments accomplished are… (More)

Using information gain to improve multi-modal information retrieval systems

Maria Teresa Martín-Valdivia, Manuel Carlos Díaz-Galiano, Arturo Montejo Ráez, Luis Alfonso Ureña López
Inf. Process. Manage.
2008

Overview of TASS 2016

This paper describes TASS 2016, the fifth edition of the Workshop on Sentiment Analysis at SEPLN. The main aim is the promotion of the research and the development of new algorithms, resources and… (More)

Multilingual Information Access for Text, Speech and Images, 5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004, Bath, UK, September 15-17, 2004, Revised Selected Papers

Carol Peters, P. W. J. Clough, +22 authors Joachim Wagner
CLEF
2005

Pessimists and optimists: Improving collaborative filtering through sentiment analysis

Miguel Ángel García Cumbreras, Arturo Montejo Ráez, Manuel Carlos Díaz-Galiano
Expert Syst. Appl.
2013

0957-4174/$ see front matter 2013 Elsevier Ltd. All rights reserved. http://dx.doi.org/10.1016/j.eswa.2013.06.049 q This work has been granted by the Fondo Europeo de Desarrollo Regional (FEDER),… (More)

Crowd explicit sentiment analysis

Arturo Montejo Ráez, Manuel Carlos Díaz-Galiano, Fernando Martínez Santiago, Luis Alfonso Ureña López
Knowl.-Based Syst.
2014

With the rapid growth of data generated by social web applications new paradigms in the generation of knowledge are opening. This paper introduces Crowd Explicit Sentiment Analysis (CESA) as an… (More)

Query Expansion on Medical Image Retrieval: MeSH vs. UMLS

SINAI at ImageCLEFmed 2008

This paper describes the SINAI team participation in the ImageCLEF campaign. In this paper we only explain the experiments accomplished in the medical task. We have experimented with query expansion… (More)

Using WordNet in Multimedia Information Retrieval

This work investigates the use of external knowledge in a corpus with minimal textual information. We have expanded the original collection with WordNet terms in order to enrich the information… (More)

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