2001 Presentations (Communicative Events)
Disambiguating Proteins, Genes, and RNA in Text: A Machine Learning Approach
We present an automated system for assigning protein, gene, or mRNA class labels to biological terms in free text. Three machine learning algorithms and several extended ways for defining contextual features for disambiguation are examined, and a fully unsupervised manner for obtaining training examples is proposed. We train and evaluate our system over a collection of 9 million words of molecular biology journal articles, obtaining accuracy rates up to 85%.
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hatzivassiloglou_al_01b.pdf application/pdf 90.3 KB Download File
More About This Work
- Academic Units
- Computer Science
- Publisher
- Proceedings of the 9th International Conference on Intelligent Systems for Molecular Biology
- Published Here
- May 3, 2013