Rapid Annotation through Human-Machine Collaboration. Boschee, E., Miller, S., Ramshaw, L., & Weischedel, R. In Proceedings of the Second International Conference on Human Language Technology Research, of HLT '02, pages 187–189, San Francisco, CA, USA, 2002. Morgan Kaufmann Publishers Inc..
abstract   bibtex   
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.
@inproceedings{10.5555/1289189.1289193,
author = {Boschee, Elizabeth and Miller, Scott and Ramshaw, Lance and Weischedel, Ralph},
title = {Rapid Annotation through Human-Machine Collaboration},
year = {2002},
publisher = {Morgan Kaufmann Publishers Inc.},
address = {San Francisco, CA, USA},
abstract = {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.},
booktitle = {Proceedings of the Second International Conference on Human Language Technology Research},
pages = {187–189},
numpages = {3},
location = {San Diego, California},
series = {HLT '02}
}

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