Active Learning for Information Extraction with Multiple View Feature Sets. Jones, R., Ghani, R., Mitchell, T., & Riloff, E. In International Workshop Tutorial on Adaptive Text Extraction and Mining held in conjunction with the 14th European Conference on Machine Learning and the 7th European Conference on Principles and Practice of, pages 26, 2003.
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Website abstract bibtex
Website abstract bibtex A major problem with machine learning approaches to information extraction is the high cost of collecting labeled examples. Active learning seeks to make ecient use of a labeler's time by asking for labels based on the anticipated value of that label to the learner. We consider
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