External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway

Wojciech Kusa, Michael Spranger


Abstract
This paper evaluates the impact of various event extraction systems on automatic pathway curation using the popular mTOR pathway. We quantify the impact of training data sets as well as different machine learning classifiers and show that some improve the quality of automatically extracted pathways.
Anthology ID:
W17-2331
Volume:
BioNLP 2017
Month:
August
Year:
2017
Address:
Vancouver, Canada,
Editors:
Kevin Bretonnel Cohen, Dina Demner-Fushman, Sophia Ananiadou, Junichi Tsujii
Venue:
BioNLP
SIG:
SIGBIOMED
Publisher:
Association for Computational Linguistics
Note:
Pages:
247–256
Language:
URL:
https://aclanthology.org/W17-2331
DOI:
10.18653/v1/W17-2331
Bibkey:
Cite (ACL):
Wojciech Kusa and Michael Spranger. 2017. External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway. In BioNLP 2017, pages 247–256, Vancouver, Canada,. Association for Computational Linguistics.
Cite (Informal):
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway (Kusa & Spranger, BioNLP 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-2331.pdf
Code
 sbnlp/2017BioNLPEvaluation