@InProceedings{sikdar-barik-gambck:2018:W18-32,
  author    = {Sikdar, Utpal Kumar  and  Barik, Biswanath  and  Gambäck, Björn},
  title     = {Named Entity Recognition on Code-Switched Data Using Conditional Random Fields},
  booktitle = {Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {115--119},
  abstract  = {Named Entity Recognition is an important information extraction task that identifies proper names in unstructured texts and classifies them into some pre-defined categories. Identification of named entities in code-mixed social media texts is a more difficult and challenging task as the contexts are short, ambiguous and often noisy. This work proposes a Conditional Random Fields based named entity recognition system to identify proper names in code-switched data and classify them into nine categories. The system ranked fifth among nine participant systems and achieved a 59.25% F1-score.},
  url       = {http://www.aclweb.org/anthology/W18-3215}
}