Bootstrapping a Tagged Corpus through Combination of Existing Heterogeneous Taggers
| dc.creator | Zavrel, Jakub | |
| dc.creator | Daelemans, Walter | |
| dc.date | 2000-07-13 | |
| dc.date.accessioned | 2026-07-25T16:27:36Z | |
| dc.description | 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. | |
| dc.description | 4 pages | |
| dc.identifier | https://arxiv.org/abs/cs/0007018 | |
| dc.identifier | http://arxiv.org/abs/cs/0007018 | |
| dc.identifier | Proceedings of the 2nd International Conference on Language Resources and Evaluation (LREC 2000), pp. 17--20 | |
| dc.identifier.uri | https://dspace.dare.co.zw/handle/123456789/41527 | |
| dc.subject | Computation and Language | |
| dc.subject | I.2.7; I.2.6 | |
| dc.title | Bootstrapping a Tagged Corpus through Combination of Existing Heterogeneous Taggers | |
| dc.type | text |