@InProceedings{londhe-srihari-gopalakrishnan:2016:COLING,
  author    = {Londhe, Nikhil  and  Srihari, Rohini  and  Gopalakrishnan, Vishrawas},
  title     = {Time-Independent and Language-Independent Extraction of Multiword Expressions From Twitter},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {2269--2278},
  abstract  = {Multiword Expressions (MWEs) are crucial lexico-semantic units in any language.
	However, most work on MWEs has been focused on standard monolingual corpora. In
	this work, we examine MWE usage on Twitter - an inherently multilingual medium
	with an extremely short average text length that is often replete with
	grammatical errors. In this work we present a new graph based, language
	agnostic method for automatically extracting MWEs from tweets. We show how our
	method outperforms standard Association Measures. We also present a novel
	unsupervised evaluation technique to ascertain the accuracy of MWE extraction.},
  url       = {http://aclweb.org/anthology/C16-1214}
}