Automatic Negation and Speculation Detection in Veterinary Clinical Text

The automatic detection of negation and speculation in clinical notes is vital when searching for genuine instances of a given phenomenon. This paper describes a new corpus of negation and speculation data, in the veterinary clinical note domain, and describes a series of experiments whereby we port a CRF-based method across from the BioScope corpus to this novel domain.