CLJul 7, 2017
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway
arXiv:1707.02063v11086 citations
Originality Synthesis-oriented
AI Analysis
This work addresses pathway curation for biomedical researchers, but it is incremental as it focuses on evaluating existing methods rather than introducing new ones.
The paper evaluated how different event extraction systems affect automatic pathway curation for the mTOR pathway, finding that certain training datasets and machine learning classifiers improved the quality of extracted pathways.
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.