Paper: Extraction of Named Entities from Tables in Gene Mutation Literature

ACL ID W09-1306
Title Extraction of Named Entities from Tables in Gene Mutation Literature
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2009
Authors

We investigate the challenge of extract- ing information about genetic mutations from ta- bles, an important source of information in scien- tific papers. We use various machine learning algo- rithms and feature sets, and evaluate performance in extracting fields associated with an existing hand- created database of mutations. We then show how classifying tabular information can be leveraged for the task of named entity detection for mutations.1 Keywords Information extraction; tables; biomedical applications.