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        <title>What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts</title>
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    <name type="personal">
        <namePart type="given">Sanja</namePart>
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        <namePart type="given">Seren</namePart>
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        <namePart type="given">Marc</namePart>
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            <title>Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)</title>
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        <name type="personal">
            <namePart type="given">Chengqing</namePart>
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            <namePart type="given">Fei</namePart>
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            <namePart type="given">Wenjie</namePart>
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            <namePart type="given">Roberto</namePart>
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    <abstract>According to the self-determination theory, the levels of satisfaction of three basic needs (competence, autonomy and relatedness) have implications on people’s everyday life and career. We benchmark the novel task of automatically detecting those needs on short posts in English, by modelling it as a ternary classification task, and as three binary classification tasks. A detailed manual analysis shows that the latter has advantages in the real-world scenario, and that our best models achieve similar performances as a trained human annotator.</abstract>
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        <date>2021-08</date>
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%0 Conference Proceedings
%T What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts
%A Stajner, Sanja
%A Yenikent, Seren
%A Ghanem, Bilal
%A Franco-Salvador, Marc
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F stajner-etal-2021-motivates
%X According to the self-determination theory, the levels of satisfaction of three basic needs (competence, autonomy and relatedness) have implications on people’s everyday life and career. We benchmark the novel task of automatically detecting those needs on short posts in English, by modelling it as a ternary classification task, and as three binary classification tasks. A detailed manual analysis shows that the latter has advantages in the real-world scenario, and that our best models achieve similar performances as a trained human annotator.
%R 10.18653/v1/2021.acl-short.101
%U https://aclanthology.org/2021.acl-short.101
%U https://doi.org/10.18653/v1/2021.acl-short.101
%P 803-810

Markdown (Informal)

[What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts](https://aclanthology.org/2021.acl-short.101) (Stajner et al., ACL-IJCNLP 2021)

• What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts (Stajner et al., ACL-IJCNLP 2021)

ACL

• Sanja Stajner, Seren Yenikent, Bilal Ghanem, and Marc Franco-Salvador. 2021. What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 803–810, Online. Association for Computational Linguistics.