@InProceedings{mayfield-mcnamee-costello:2017:BSNLP,
  author    = {Mayfield, James  and  McNamee, Paul  and  Costello, Cash},
  title     = {Language-Independent Named Entity Analysis Using Parallel Projection and Rule-Based Disambiguation},
  booktitle = {Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {92--96},
  abstract  = {The 2017 shared task at the Balto-Slavic NLP workshop requires identifying
	coarse-grained named entities in seven languages, identifying each entity’s
	base form, and clustering name mentions across the multilingual set of
	documents. The fact that no training data is provided to systems for building
	supervised classifiers further adds to the complexity. To complete the task we
	first use publicly available parallel texts to project named entity recognition
	capability from English to each evaluation language. We ignore entirely the
	subtask of identifying non-inflected forms of names. Finally, we create
	cross-document entity identifiers by clustering named mentions using a
	procedure-based approach.},
  url       = {http://www.aclweb.org/anthology/W17-1414}
}