FiBRE

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FiBRE Architecture

FiBRE (Filtering Bioentity Recognition Errors) aims at developing a system for automatically identify and correct annotation errors generated by biomedical named entity recognition systems.

Named entity systems annotate the bioliterature with entities of interest. However, albeit most of the annotations might be correct, there will always be some annotation errors.

FiBRE aims at using different sets of automatically generated annotations to identify the main features that characterize an annotation of being of a certain type. These features are used to learn a model that can be applied to identify and filter annotation errors, using a confidence score threshold.


Research Team

Funding


  • Period: 1-Jan-2008 to 31-Dec-2011
  • Funding:
    • SFRH/BD/36015/2007, Doctoral research scholarship for Tiago Grego


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Publications


Document | BibTeX source
Tiago Grego, Piotr Pezik, Francisco Couto, Dietrich Rebholz-Schuhmann 2009: Identification of Chemical Entities in Patent Documents. Lecture Notes in Computer Science (5518), 942-949.

DOI | Document | Presentation | BibTeX source
Francisco Couto, Tiago Grego, Catia Pesquita, Hugo Bastos, R. Torres, P. Sanchez, L. Pascual, C. Blaschke, Identifying Bioentity Recognition Errors of Rule-Based Text-Mining Systems.IEEE Third International Conference on Digital Information Management (ICDIM) 2008.

Document | BibTeX source
Francisco Couto, Tiago Grego, Rafael Torres, Pablo Sanchez, Leandro Pascual, Christian Blaschke, Filtering Bioentity Recognition Errors in Bioliterature using a Case-based Approach.BioLINK SIG at 15th International Conference on Intelligent Systems for Molecular Biology / 6th European Conference on Computational Biology (ISMB/ECCB) July, 2007.


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