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  Bootstrapping a tagged corpus through combination of existing heterogeneous taggers (2000) [2 citations — 1 self]

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by Jakub Zavrel, Walter Daelemans
In Proceedings of the second international conference on language resources and evaluation (LREC-2000
http://pcger40.uia.ac.be/walter/papers/zd00.ps
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Abstract:

This paper describes a new method, COMBI-BOOTSTRAP, to exploit existing taggers and lexical resources for the annotation of corpora with new tagsets. COMBI-BOOTSTRAP uses existing resources as features for a second level machine learning module, that is trained to make the mapping to the new tagset on a very small sample of annotated corpus material. Experiments show that COMBI-BOOTSTRAP: i) can integrate a wide variety of existing resources, and ii) achieves much higher accuracy (up to 44.7 % error reduction) than both the best single tagger and an ensemble tagger constructed out of the same small training sample. 1.

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