Portal de Periódicos da CAPES

Using Information Gain to Improve the ImageCLEF 2006 Collection

2007; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-540-74999-8_89

1611-3349

Manuel Carlos Díaz–Galiano, Miguel Ángel García Cumbreras, María Teresa Martín Valdivia, Arturo Montejo‐Ráez, Luís Alfonso Ureña López,

Biomedical Text Mining and Ontologies

This paper describes the SINAI team’s participation in both the ad hoc task and the medical task. For the ad hoc task we use a new Machine Translation system which works with several translators and heuristics. For the medical task, we have processed the set of collections using Information Gain (IG) to identify the best tags that should be considered in the indexing process.