Combining TEXT-MESS systems at ImageCLEF 2008

Authors:
Sergio Navarro;Miguel Angel García-Cumbreras;Fernando Llopis;Manuel Carlos Díaz-Galiano;Rafael Muñoz;María Teresa Martín-Valdivia;L. Alfonso Ureña-López;Arturo Montejo-Ráez
Affiliations:
Natural Language Processing and Information Systems Group, University of Alicante, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain;Natural Language Processing and Information Systems Group, University of Alicante, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain;Natural Language Processing and Information Systems Group, University of Alicante, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain
Venue:
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Year:
2008

Citing 7
Cited 0

Improving the effectiveness of information retrieval with local context analysis

ACM Transactions on Information Systems (TOIS)
Features for image retrieval: an experimental comparison

Information Retrieval
Integrating MeSH Ontology to Improve Medical Information Retrieval

Advances in Multilingual and Multimodal Information Retrieval
Filtering for Improving the Geographic Information Search

Advances in Multilingual and Multimodal Information Retrieval
Overview of the ImageCLEFphoto 2008 photographic retrieval task

CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Overview of the ImageCLEFmed 2008 medical image retrieval task

CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
A passage retrieval system for multilingual question answering

TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes the joint work of two teams belonging to the TEXT-MESS project. The system presented at ImageCLEFPhoto task combines one module based on filtering and other based on clustering. The main objective was to study the behavior of these methods with a large number of configurations in order to increase our chances of success. The system presented at ImageCLEFmed task uses the IR-n system with a negative query expansion based on the acquisition type of the image mixed with the SINAI system with a MeSH based query expansion.