Multi-Criteria-based Active Learning for Named Entity Recognition

Abstract

In this paper, we propose a multi-criteria based active learning approach and effectively apply it to named entity recognition. Active learning targets to minimize the human annotation efforts by selecting examples for labeling. To maximize the contribution of the selected examples, we consider the multiple criteria: informativeness, representativeness and… (More)
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