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        <title>An Edit-centric Approach for Wikipedia Article Quality Assessment</title>
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            <title>Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)</title>
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            <namePart type="given">Alan</namePart>
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    <abstract>We propose an edit-centric approach to assess Wikipedia article quality as a complementary alternative to current full document-based techniques. Our model consists of a main classifier equipped with an auxiliary generative module which, for a given edit, jointly provides an estimation of its quality and generates a description in natural language. We performed an empirical study to assess the feasibility of the proposed model and its cost-effectiveness in terms of data and quality requirements.</abstract>
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%0 Conference Proceedings
%T An Edit-centric Approach for Wikipedia Article Quality Assessment
%A Marrese-Taylor, Edison
%A Loyola, Pablo
%A Matsuo, Yutaka
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F marrese-taylor-etal-2019-edit
%X We propose an edit-centric approach to assess Wikipedia article quality as a complementary alternative to current full document-based techniques. Our model consists of a main classifier equipped with an auxiliary generative module which, for a given edit, jointly provides an estimation of its quality and generates a description in natural language. We performed an empirical study to assess the feasibility of the proposed model and its cost-effectiveness in terms of data and quality requirements.
%R 10.18653/v1/D19-5550
%U https://aclanthology.org/D19-5550
%U https://doi.org/10.18653/v1/D19-5550
%P 381-386

Markdown (Informal)

[An Edit-centric Approach for Wikipedia Article Quality Assessment](https://aclanthology.org/D19-5550) (Marrese-Taylor et al., WNUT 2019)

• An Edit-centric Approach for Wikipedia Article Quality Assessment (Marrese-Taylor et al., WNUT 2019)

ACL

• Edison Marrese-Taylor, Pablo Loyola, and Yutaka Matsuo. 2019. An Edit-centric Approach for Wikipedia Article Quality Assessment. In Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019), pages 381–386, Hong Kong, China. Association for Computational Linguistics.