@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://aclanthology.org/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{\%}."
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        <title>IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data</title>
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        <namePart type="given">Shashwat</namePart>
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        <dateIssued>2018-07</dateIssued>
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            <title>Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching</title>
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            <namePart type="given">Gustavo</namePart>
            <namePart type="family">Aguilar</namePart>
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            <namePart type="given">Fahad</namePart>
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        <name type="personal">
            <namePart type="given">Victor</namePart>
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        <name type="personal">
            <namePart type="given">Julia</namePart>
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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%.</abstract>
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    <identifier type="doi">10.18653/v1/W18-3220</identifier>
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        <url>https://aclanthology.org/W18-3220/</url>
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        <date>2018-07</date>
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            <start>148</start>
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%0 Conference Proceedings
%T IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data
%A Trivedi, Shashwat
%A Rangwani, Harsh
%A Kumar Singh, Anil
%Y Aguilar, Gustavo
%Y AlGhamdi, Fahad
%Y Soto, Victor
%Y Solorio, Thamar
%Y Diab, Mona
%Y Hirschberg, Julia
%S Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F trivedi-etal-2018-iit
%X 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%.
%R 10.18653/v1/W18-3220
%U https://aclanthology.org/W18-3220/
%U https://doi.org/10.18653/v1/W18-3220
%P 148-153
Markdown (Informal)
[IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data](https://aclanthology.org/W18-3220/) (Trivedi et al., ACL 2018)
ACL