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        <title>A Quantitative Study of Data in the NLP community</title>
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            <namePart type="given">Dirk</namePart>
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        <name type="personal">
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    <abstract>We present results on a quantitative analysis of publications in the NLP domain on collecting, publishing and availability of research data. We find that a wide range of publications rely on data crawled from the web, but few give details on how potentially sensitive data was treated. Additionally, we find that while links to repositories of data are given, they often do not work even a short time after publication. We put together several suggestions on how to improve this situation based on publications from the NLP domain, but also other research areas.</abstract>
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%0 Conference Proceedings
%T A Quantitative Study of Data in the NLP community
%A Mieskes, Margot
%Y Hovy, Dirk
%Y Spruit, Shannon
%Y Mitchell, Margaret
%Y Bender, Emily M.
%Y Strube, Michael
%Y Wallach, Hanna
%S Proceedings of the First ACL Workshop on Ethics in Natural Language Processing
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F mieskes-2017-quantitative
%X We present results on a quantitative analysis of publications in the NLP domain on collecting, publishing and availability of research data. We find that a wide range of publications rely on data crawled from the web, but few give details on how potentially sensitive data was treated. Additionally, we find that while links to repositories of data are given, they often do not work even a short time after publication. We put together several suggestions on how to improve this situation based on publications from the NLP domain, but also other research areas.
%R 10.18653/v1/W17-1603
%U https://aclanthology.org/W17-1603
%U https://doi.org/10.18653/v1/W17-1603
%P 23-29

Markdown (Informal)

[A Quantitative Study of Data in the NLP community](https://aclanthology.org/W17-1603) (Mieskes, EthNLP 2017)

• A Quantitative Study of Data in the NLP community (Mieskes, EthNLP 2017)

ACL

• Margot Mieskes. 2017. A Quantitative Study of Data in the NLP community. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, pages 23–29, Valencia, Spain. Association for Computational Linguistics.