@InProceedings{vuppuluri-EtAl:2017:EACLDemo,
  author    = {vuppuluri, vasanthi  and  Baki, Shahryar  and  Nguyen, An  and  Verma, Rakesh},
  title     = {ICE: Idiom and Collocation Extractor for Research and Education},
  booktitle = {Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {108--111},
  abstract  = {Collocation and idiom extraction are well-known challenges with many potential
	applications in Natural Language Processing (NLP). Our experimental,
	open-source software system, called ICE, is a python package for flexibly
	extracting collocations and idioms, currently in English. It also has a
	competitive POS tagger that can be used alone or as part of collocation/idiom
	extraction. ICE is available free of cost for research and educational uses in
	two user-friendly formats. This paper gives an overview of ICE and its
	performance, and briefly describes the research underlying the extraction
	algorithms.},
  url       = {http://aclweb.org/anthology/E17-3027}
}