IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING

IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING ISAAC PERSING AND VINCENT NG

Abstract. Active learning has been successfully applied to many natural language processing tasks for obtaining annotated data in a cost-effective manner. We propose several extensions to an active learner that adopts the margin-based uncertainty sampling framework. Experimental results on a cause detection problem involving the classification of aviation safety reports demonstrate the effectiveness of our extensions.

Data and Resources

Additional Info

Field Value
Maintainer Elizabeth Foughty
Last Updated March 31, 2025, 17:47 (UTC)
Created March 31, 2025, 17:47 (UTC)
Identifier DASHLINK_226
Issued 2010-10-13
Modified 2020-01-29
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