P.: Identifying and extracting malignancy types in cancer literature

Summary: MTag is an application for identifying and extracting clinical descriptions of malignancy presented in text. The application uses the machine learning technique Conditional Random Fields and incorporates domain-specific features. MTag was tested with 1,010 training and 432 evaluation documents pertaining to cancer genomics. Our experiments resulted in 0.85 precision, 0.82 recall, and 0.83 F-measure on the evaluation set. Availability: The software is available at http://bioie.ldc.upenn.edu/index.jsp