IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data
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{\%}.
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