@InProceedings{williams:2017:WNUT,
  author    = {Williams, Jake},
  title     = {Boundary-based MWE segmentation with text partitioning},
  booktitle = {Proceedings of the 3rd Workshop on Noisy User-generated Text},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {1--10},
  abstract  = {This submission describes the development of a fine-grained, text-chunking
	algorithm for the task of comprehensive MWE segmentation. This task notably
	focuses on the identification of colloquial and idiomatic language. The
	submission also includes a thorough model evaluation in the context of two
	recent shared tasks, spanning 19 different languages and many text domains,
	including noisy, user-generated text. Evaluations exhibit the presented model
	as the best overall for purposes of MWE segmentation, and open-source software
	is released with the submission (although links are withheld for purposes of
	anonymity). Additionally, the authors acknowledge the existence of a pre-print
	document on arxiv.org, which should be avoided to maintain anonymity in review.},
  url       = {http://www.aclweb.org/anthology/W17-4401}
}