Olsson, Fredrik and Tomanek, Katrin (2009) An Intrinsic Stopping Criterion for Committee-Based Active Learning. In: Thirteenth Conference on Computational Natural Language Learning (CoNLL), 4-5 June 2009, Boulder, Colorado, USA.
As supervised machine learning methods are increasingly used in language technology, the need for high-quality annotated language data becomes imminent. Active learning (AL) is a means to alleviate the burden of annotation. This paper addresses the problem of knowing when to stop the AL process without having the human annotator make an explicit decision on the matter. We propose and evaluate an intrinsic criterion for committee-based AL of named entity recognizers.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||active learning, machine learning, committee-based active learning, named entity recognition|
|Deposited By:||Fredrik Olsson|
|Deposited On:||10 Jun 2009|
|Last Modified:||18 Nov 2009 16:24|
Repository Staff Only: item control page