The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Making large-scale support vector machine learning practical
Advances in kernel methods
Information Retrieval
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
A statistical profile of the Named Entity task
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
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
Use of support vector learning for chunk identification
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Comparison between tagged corpora for the named entity task
WCC '00 Proceedings of the workshop on Comparing corpora - Volume 9
Building an annotated corpus in the molecular-biology domain
Proceedings of the COLING-2000 Workshop on Semantic Annotation and Intelligent Content
Automatic document metadata extraction using support vector machines
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Probabilistic term variant generator for biomedical terms
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Two supervised learning approaches for name disambiguation in author citations
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Enhancing HMM-based biomedical named entity recognition by studying special phenomena
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Comparison of character-level and part of speech features for name recognition in biomedical texts
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Improving the performance of dictionary-based approaches in protein name recognition
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Proceedings of the 3rd international conference on Knowledge capture
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
Effective adaptation of a Hidden Markov Model-based named entity recognizer for biomedical domain
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
Adaptive information extraction
ACM Computing Surveys (CSUR)
Named entity recognition in Vietnamese using classifier voting
ACM Transactions on Asian Language Information Processing (TALIP)
Foundations and Trends in Databases
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Named entity recognition in biomedical texts using an HMM model
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Bio-medical entity extraction using support vector machines
Artificial Intelligence in Medicine
Clause boundary recognition using support vector machines
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A composite kernel for named entity recognition
Pattern Recognition Letters
Extracting named entities using support vector machines
KDLL'06 Proceedings of the 2006 international conference on Knowledge Discovery in Life Science Literature
Appropriate kernel functions for support vector machine learning with sequences of symbolic data
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Exploring predicate-argument relations for named entity recognition in the molecular biology domain
DS'05 Proceedings of the 8th international conference on Discovery Science
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Named entity recognition and identification for finding the owner of a home page
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
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This paper explores the use of Support Vector Machines (SVMs) for an extended named entity task. We investigate the identification and classification of technical terms in the molecular biology domain and contrast this to results obtained for traditional NE recognition on the MUC-6 data set. Furthermore we compare the performance of the SVM model to a standard HMM bigram model. Results show that the SVM utilizing a rich feature set of a ±3 context window and POS features (MUC-6 only) had a significant performance advantage on both the MUC-6 and molecular biology data sets.