Some advances in transformation-based part of speech tagging
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Elements of machine learning
Machine Learning
Extracting the names of genes and gene products with a hidden Markov model
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
A Probabilistic Model for Identifying Protein Names and their Name Boundaries
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
An investigation of various information sources for classifying biological names
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
A preliminary look into the use of named entity information for bioscience text tokenization
HLT-SRWS '04 Proceedings of the Student Research Workshop at HLT-NAACL 2004
Corpus design for biomedical natural language processing
ISMB '05 Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Biological text mining for extraction of proteins and their interactions
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Automatic extraction of proteins and their interactions from biological text
DS'05 Proceedings of the 8th international conference on Discovery Science
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Current information extraction efforts in the biomedical domain tend to focus on finding entities and facts in structured databases or MEDLINE® abstracts. We apply a gene and protein name tagger trained on Medline abstracts (ABGene) to a randomly selected set of full text journal articles in the biomedical domain. We show the effect of adaptations made in response to the greater heterogeneity of full text.