@InProceedings{derczynski-EtAl:2017:WNUT,
  author    = {Derczynski, Leon  and  Nichols, Eric  and  van Erp, Marieke  and  Limsopatham, Nut},
  title     = {Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition},
  booktitle = {Proceedings of the 3rd Workshop on Noisy User-generated Text},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {140--147},
  abstract  = {This shared task focuses on identifying unusual, previously-unseen entities in
	the context of emerging discussions. Named entities form the basis of many
	modern approaches to other tasks (like event clustering and summarization), but
	recall on them is a real problem in noisy text - even among annotators. This
	drop tends to be due to novel entities and surface forms. Take for example the
	tweet "so.. kktny in 30 mins?!" -- even human experts find the entity 'kktny'
	hard to detect and resolve. The goal of this task is to provide a definition of
	emerging and of rare entities, and based on that, also datasets for detecting
	these entities. The task as described in this paper evaluated the ability of
	participating entries to detect and classify novel and emerging named entities
	in noisy text.},
  url       = {http://www.aclweb.org/anthology/W17-4418}
}