@InProceedings{enghoff-harrison-agi:2018:W-NUT2018,
  author    = {Enghoff, Jan Vium  and  Harrison, Søren  and  Agić, Željko},
  title     = {Low-resource named entity recognition via multi-source projection: Not quite there yet?},
  booktitle = {Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text},
  month     = {November},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {195--201},
  abstract  = {Projecting linguistic annotations through word alignments is one of the most prevalent approaches to cross-lingual transfer learning. Conventional wisdom suggests that annotation projection ``just works'' regardless of the task at hand. We carefully consider multi-source projection for named entity recognition. Our experiment with 17 languages shows that to detect named entities in true low-resource languages, annotation projection may not be the right way to move forward. On a more positive note, we also uncover the conditions that do favor named entity projection from multiple sources. We argue these are infeasible under noisy low-resource constraints.},
  url       = {http://www.aclweb.org/anthology/W18-6125}
}