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

dc.contributor.authorTrivedi S.; Rangwani H.; Singh A.K.
dc.date.accessioned2025-05-24T09:31:53Z
dc.description.abstractThis 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%. © 2018 Association for Computational Linguistics
dc.identifier.doiDOI not available
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/17475
dc.relation.ispartofseriesProceedings of the Annual Meeting of the Association for Computational Linguistics
dc.titleIIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data

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