Paper: MMR-Based Active Machine Learning For Bio Named Entity Recognition

ACL ID N06-2018
Title MMR-Based Active Machine Learning For Bio Named Entity Recognition
Venue Human Language Technologies
Session Short Paper
Year 2006
Authors

This paper presents a new active learning paradigm which considers not only the uncertainty of the classifier but also the diversity of the corpus. The two measures for uncertainty and diversity were com- bined using the MMR (Maximal Marginal Relevance) method to give the sampling scores in our active learning strategy. We incorporated MMR-based active machine- learning idea into the biomedical named- entity recognition system. Our experimen- tal results indicated that our strategies for active-learning based sample selection could significantly reduce the human ef- fort.