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experiments indicate that the
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algorithm does not guarantee
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section , we describe an automatic
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positive sample selection
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algorithm that coarsely mimics
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the data . The Algorithm . The
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positive sample selection
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al - gorithm , POS-SELECT , is
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distributions , and an automatic
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algorithm to select easy positive
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iteration of the algorithm . Hence ,
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in POS-SELECT is implicit in
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better performance than applying
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alone : Fmeasure increases from
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that applying both negative and
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leads to better performance than
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performance improves dramatically with
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using POS-SELECT both in the
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41.3 to 46.0 ( for MUC-7 ) .10 4
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Positive Sample Selection
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Since not all of the coreference
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