Diarmuid Ó Séaghdha
Biomedical Event Extraction without Training Data
Andreas Vlachos, Paula Buttery, Diarmuid Ó Séaghdha and Ted Briscoe, BioNLP 2009
We describe our system for the BioNLP 2009 event detection task. It is designed to be as domain-independent and unsupervised as possible. Nevertheless, the precisions achieved for single theme event classes range from 75% to 92%, while maintaining reasonable recall. The overall F-scores achieved were 36.44% and 30.80% on the development and the test sets respectively.
@InProceedings{Vlachos:EtAl:09,
author = {Andreas Vlachos and Paula Buttery and Diarmuid {\'O S\'eaghdha} and Ted Briscoe},
title = {Biomedical Event Extraction without Training Data},
booktitle = {Proceedings of BioNLP 2009},
year = 2009,
address = {Boulder, CO}
}