A multi-strategy approach to biological named entity recognition
- 1 June 2012
- journal article
- Published by Elsevier in Expert Systems with Applications
- Vol. 39 (17) , 12968-12974
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Combining active learning and semi-supervised learning techniques to extract protein interaction sentencesBMC Bioinformatics, 2011
- Classifying protein-protein interaction articles using word and syntactic featuresBMC Bioinformatics, 2011
- Detecting experimental techniques and selecting relevant documents for protein-protein interactions from biomedical literatureBMC Bioinformatics, 2011
- Assessment of NER solutions against the first and second CALBC Silver Standard CorpusJournal of Biomedical Semantics, 2011
- MKEM: a Multi-level Knowledge Emergence Model for mining undiscovered public knowledgeBMC Bioinformatics, 2010
- BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literatureBMC Bioinformatics, 2009
- Recognition of protein/gene names from text using an ensemble of classifiersBMC Bioinformatics, 2005
- GENETAG: a tagged corpus for gene/protein named entity recognitionBMC Bioinformatics, 2005
- A system for identifying named entities in biomedical text: how results from two evaluations reflect on both the system and the evaluationsComparative and Functional Genomics, 2005
- Term identification in the biomedical literatureJournal of Biomedical Informatics, 2004