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ECIR
2003
Springer

A Machine Learning Approach for the Curation of Biomedical Literature

9 years 1 months ago
A Machine Learning Approach for the Curation of Biomedical Literature
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental evidence for the expression of molecular gene products for specified genes within a given paper. The system performs pre-processing and data cleaning, followed by feature extraction from the raw text. It subsequently classifies the paper using the extracted features with a Naïve Bayes Classifier. Our approach has made it possible to classify (and curate) biomedical papers automatically, thus potentially saving considerable time and resources.
Min Shi, David S. Edwin, Rakesh Menon, Lixiang She
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where ECIR
Authors Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong
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