Conditional random fields and support vector machines for disorder named entity recognition in clinical texts

BioNLP 2008 - Current Trends in Biomedical Natural Language Processing, Proceedings of the Workshop

Volumn , Issue , 2008, Pages 94-95

  Li, Dingcheng ^a   Kipper Schuler, Karin ^b   Savova, Guergana ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b Mayo Clinic College of Medicine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RANDOM PROCESSES;

COMPARATIVES STUDIES; F-SCORE; FIELD VECTORS; GOLD STANDARDS; MACHINE LEARNING METHODS; NAMED ENTITIES; NAMED ENTITY RECOGNITION; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

EID: 84867640802     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Corinna Cortes and Vladimir Vapnik. Support-vector network. Machine Learning, 20:273-297, 1995.
2. John Lafferty, Andrew McCallum and Fernando Pereira. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML-2001), 2001.
3. Robert Leaman and Graciela Gonzalez. BANNER: an Executable Survey of Advances in Biomedical Named Entity Recognition. Pacific Symposium on Biocomputing 13:652-663. 2008.
4. Philip Ogren, Guergana Savova and Christopher G Chute. Constructing evaluation corpora for automated clinical named entity recognition. Proc LREC 2008.