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IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data

Proceedings of the Annual Meeting of the Association for Computational Linguistics (2018) 148-153
DOI: 10.18653/v1/w18-3220
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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%.

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APA

Trivedi, S., Rangwani, H., & Singh, A. K. (2018). IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 148–153). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-3220

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