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IJCNLP
2004
Springer

SVM-Based Biological Named Entity Recognition Using Minimum Edit-Distance Feature Boosted by Virtual Examples

10 years 6 months ago
SVM-Based Biological Named Entity Recognition Using Minimum Edit-Distance Feature Boosted by Virtual Examples
In this paper, we propose two indepentent solutions to resolve the problems of many different spelling variants and of lack of annotated corpus for training, which are two main difficulties in SVM(Support-Vector Machine) and other machine-learning based biological named entity recognition. To resolve the problem of spelling variants, we propose a use of edit-distance as a feature for SVM. We also propose a use of virtual examples to automatically expand the annotated corpus to resolve the lack-of-corpus problem. Using virtual examples, the annotated corpus can be expanded in a fast, efficient and easy way. The experimental results
Eunji Yi, Gary Geunbae Lee, Yu Song, Soo-Jun Park
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where IJCNLP
Authors Eunji Yi, Gary Geunbae Lee, Yu Song, Soo-Jun Park
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