Bootstrapping a Tagged Corpus through Combination of Existing Heterogeneous Taggers
<|reference_start|>Bootstrapping a Tagged Corpus through Combination of Existing Heterogeneous Taggers: 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.<|reference_end|>
@article{zavrel2000bootstrapping,
    title={Bootstrapping a Tagged Corpus through Combination of Existing
  Heterogeneous Taggers},
    author={Jakub Zavrel and Walter Daelemans},
    journal={Proceedings of the 2nd International Conference on Language
  Resources and Evaluation (LREC 2000), pp. 17--20},
    year={2000},
    archivePrefix={arXiv},
    eprint={cs/0007018},
    primaryClass={cs.CL}
}