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Title:A Two-Stage Method for Active Learning of Statistical Grammars
Authors: Markus Becker ; Sukanya Bhowmik ; Miles Osborne
Date: 2005
Publication Title:Proceedings of IJCAI 2005 (International Joint Conference on Artificial Intelligence)
Publisher:Professional Book Center
Publication Type:Conference Paper Publication Status:Published
Page Nos:991-996
Abstract:

Active Learning reduces the amount of manually annotated sentences necessary when training state-of-the-art statistical parsers. One popular method, uncertainty sampling, selects sentences for which the parser exhibits low certainty. However, this method does not quantify confidence about the current statistical model itself. In particular, we should be less confident about selection decisions based on low frequency events. We present a novel two-stage method which first targets sentences which cannot be reliably selected using uncertainty sampling, and then applies standard uncertainty sampling to the remaining sentences. An evaluation shows that this method performs better than an ensemble method based on bagged ensemble members only.

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2006 by The University of Edinburgh. All Rights Reserved
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Bibtex format
@InProceedings{EDI-INF-RR-0723,
author = { Markus Becker and Sukanya Bhowmik and Miles Osborne },
title = {A Two-Stage Method for Active Learning of Statistical Grammars},
book title = {Proceedings of IJCAI 2005 (International Joint Conference on Artificial Intelligence)},
publisher = {Professional Book Center},
year = 2005,
pages = {991-996},
}


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