A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
The nature of statistical learning theory
The nature of statistical learning theory
Making large-scale support vector machine learning practical
Advances in kernel methods
Information Retrieval
Constructing Biological Knowledge Bases by Extracting Information from Text Sources
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
A non-projective dependency parser
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Use of support vector machines in extended named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Building an annotated corpus in the molecular-biology domain
Proceedings of the COLING-2000 Workshop on Semantic Annotation and Intelligent Content
Biomedical named entity recognition using two-phase model based on SVMs
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Use of morphological analysis in protein name recognition
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Using automatically learnt verb selectional preferences for classification of biomedical terms
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Term identification in the biomedical literature
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Annotating multiple types of biomedical entities: a single word classification approach
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Adapting an NER-system for German to the biomedical domain
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Recognizing medication related entities in hospital discharge summaries using support vector machine
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Empirical textual mining to protein entities recognition from pubmed corpus
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
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Support Vector Machines have achieved state of the art performance in several classification tasks. In this article we apply them to the identification and semantic annotation of scientific and technical terminology in the domain of molecular biology. This illustrates the extensibility of the traditional named entity task to special domains with extensive terminologies such as those in medicine and related disciplines. We illustrate SVM's capabilities using a sample of 100 journal abstracts texts taken from the {human, blood cell, transcription factor} domain of MEDLINE. Approximately 3400 terms are annotated and the model performs at about 74% F-score on cross-validation tests. A detailed analysis based on empirical evidence shows the contribution of various feature sets to performance.