Detalle de: CBR-Tagger
| Title | CBR-Tagger |
| Abstract |
This work proposes a case-based classifier to tackle the gene/protein mention problem in biomedical literature. The so called gene mention problem consists of the recognition of gene and protein entities in scientific texts. A classification process aiming at deciding if a term is a gene mention or not is carried out for each word in the text. It is based on the selection of the best or most similar case in a base of known and unknown cases. The approach was evaluated on several datasets for different organisms and results show the suitability of this approach for the gene mention problem. |
| Apa Reference | Neves, M., Chagoyen, M., Carazo, J. M., & Pascual-Montano, A. (2008). CBR-Tagger. Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing - BioNLP ’08, 108. 10.3115/1572306.1572333 |
| Doi | 10.3115/1572306.1572333 |
| Publication Date | 2008 |
| Publication Type | Conference paper |
| Researcher | Mónica Chagoyen |
| Ontology | Machine Learning in Biology, Text mining |
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