@inproceedings{trivedi-etal-2018-iit,
    title = "{IIT} ({BHU}) Submission for the {ACL} Shared Task on Named Entity Recognition on Code-switched Data",
    author = "Trivedi, Shashwat  and
      Rangwani, Harsh  and
      Kumar Singh, Anil",
    editor = "Aguilar, Gustavo  and
      AlGhamdi, Fahad  and
      Soto, Victor  and
      Solorio, Thamar  and
      Diab, Mona  and
      Hirschberg, Julia",
    booktitle = "Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W18-3220/",
    doi = "10.18653/v1/W18-3220",
    pages = "148--153",
    abstract = "This paper describes the best performing system for the shared task on Named Entity Recognition (NER) on code-switched data for the language pair Spanish-English (ENG-SPA). We introduce a gated neural architecture for the NER task. Our final model achieves an F1 score of 63.76{\%}, outperforming the baseline by 10{\%}."
}