Identifying treatments, groups and outcomes in medical abstracts

Detecting and extracting treatments, treatment groups and outcomes is a key step in generating summaries of medical research papers. We describe initial results in applying namedentity recognition methods to the task of extracting such entities from BMJ abstracts. Results are promising, showing that a conditional random field approach using word and semantic features appears to be more useful for recognizing treatments and outcomes than features based on word shape.