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Using zipf frequencies as a representativeness measure in statistical active learning of natural language
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Date
2008
Author
Çobanoğlu, Onur
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Active learning has proven to be a successful strategy in quick development of corpora to be used in statistical induction of natural language. A vast majority of studies in this field has concentrated on finding and testing various informativeness measures for samples; however, representativeness measures for samples have not been thoroughly studied. In this thesis, we introduce a novel representativeness measure which is, being based on Zipf's law, model-independent and validated both theoretically and empirically. Experiments conducted on WSJ corpus with a wide-coverage parser show that our representativeness measure leads to better performance than previously introduced representativeness measures when used with most of the known informativeness measures.
Subject Keywords
Computer enginnering.
,
Active learning.
URI
http://etd.lib.metu.edu.tr/upload/3/12609684/index.pdf
https://hdl.handle.net/11511/17685
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Graduate School of Natural and Applied Sciences, Thesis
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O. Çobanoğlu, “Using zipf frequencies as a representativeness measure in statistical active learning of natural language,” M.S. - Master of Science, Middle East Technical University, 2008.
