@inproceedings{MuellerRappStrube2022,
  author    = {Mark-Christoph M{\"u}ller and Stefan Rapp and Michael Strube},
  title     = {Applying co-training to reference resolution},
  series = {Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics. 7 - 12 July 2002, University of Pennsylvania, Philadelphia, Pennsylvania, USA},
  editor    = {Pierre Isabelle and Eugene Charniak and Dekang Lin},
  publisher = {Association for Computational Linguistics},
  address   = {Stroudsburg, Pennsylvania},
  isbn      = {1-55860-883-4},
  doi       = {10.3115/1073083.1073142},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-111649},
  pages     = {352 -- 359},
  year      = {2022},
  abstract  = {In this paper, we investigate the practical applicability of Co-Training for the task of building a classifier for reference resolution. We are concerned with the question if Co-Training can significantly reduce the amount of manual labeling work and still produce a classifier with an acceptable performance.},
  language  = {en}
}