Rapid annotation through human-machine collaboration
Elizabeth Boschee, Scott Miller, Lance Ramshaw, Ralph Weischedel · 2002
This paper addresses the problem of efficiently obtaining training data for a new entity type or relation. We describe a methodology for rapidly obtaining annotation by using seed examples and human feedback, and we show that this method allows annotation to be performed approximately 20 times faster than manual annotation alone, with small degradation in annotation accuracy.