This site is under development. For the current active site, go to bcbhub.csic.es.

Orcid Publication

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
Research Groups
Tools

Suggest changes

Publications are synced automatically from ORCID, so they can't be edited here directly. Spotted something wrong? Let us know below and we'll take care of it.

← Return to Home