Towards Automated Semantic Analysis on Biomedical Research Articles
Donghui Feng, Gully Burns, Jingbo Zhu, Eduard H. Hovy · 2008
In this paper, we present an empirical study on adapting Conditional Random Fields (CRF) models to conduct semantic analysis on biomedical articles using active learning. We explore uncertaintybased active learning with the CRF model to dynamically select the most informative training examples. This abridges the power of the supervised methods and expensive human annotation cost. 1