Some advances in transformation-based part of speech tagging
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Foundations of statistical natural language processing
Foundations of statistical natural language processing
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Maximum entropy models for natural language ambiguity resolution
Maximum entropy models for natural language ambiguity resolution
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
Notions of correctness when evaluating protein name taggers
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
GAPSCORE: finding gene and protein names one word at a time
Bioinformatics
Tuning support vector machines for biomedical named entity recognition
BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
Enhancing performance of protein name recognizers using collocation
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Two-phase biomedical NE recognition based on SVMs
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Boosting precision and recall of dictionary-based protein name recognition
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Bio-medical entity extraction using Support Vector Machines
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Protein name tagging for biomedical annotation in text
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Boosting performance of bio-entity recognition by combining results from multiple systems
Proceedings of the 5th international workshop on Bioinformatics
Introduction to the bio-entity recognition task at JNLPBA
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Brief Communication: Two-phase biomedical named entity recognition using CRFs
Computational Biology and Chemistry
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Technical term recognition with semi-supervised learning using hierarchical bayesian language models
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Towards a Protein-Protein Interaction information extraction system: Recognizing named entities
Knowledge-Based Systems
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Named entity recognition is a fundamental task in biomedical data mining. Multiple - class annotation is more challenging than single - class annotation. In this paper, we took a single word classification approach to dealing with the multiple - class annotation problem using Support Vector Machines (SVMs). Word attributes, results of existing gene/protein name taggers, context, and other information are important features for classification. During training, the size of training data and the distribution of named entities are considered. The preliminary results showed that the approach might be feasible when more training data is used to alleviate the data imbalance problem.