An entity tagger for recognizing acquired genomic variations in cancer literature.
other · Level V
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- Record sourced from PubMed, PMID 15180929.
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Abstract
VTag is an application for identifying the type, genomic location and genomic state-change of acquired genomic aberrations described in text. The application uses a machine learning technique called conditional random fields. VTag was tested with 345 training and 200 evaluation documents pertaining to cancer genetics. Our experiments resulted in 0.8541 precision, 0.7870 recall and 0.8192 F-measure on the evaluation set.
Medical subject headings
- Abstracting and Indexing
- Algorithms
- Databases, Bibliographic
- Information Storage and Retrieval
- Natural Language Processing
- Neoplasms
- Periodicals as Topic