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        <title>Using New York Times Picks to Identify Constructive Comments</title>
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            <title>Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism</title>
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            <namePart type="family">Popescu</namePart>
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    <abstract>We examine the extent to which we are able to automatically identify constructive online comments. We build several classifiers using New York Times Picks as positive examples and non-constructive thread comments from the Yahoo News Annotated Comments Corpus as negative examples of constructive online comments. We evaluate these classifiers on a crowd-annotated corpus containing 1,121 comments. Our best classifier achieves a top F1 score of 0.84.</abstract>
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    <identifier type="doi">10.18653/v1/W17-4218</identifier>
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%0 Conference Proceedings
%T Using New York Times Picks to Identify Constructive Comments
%A Kolhatkar, Varada
%A Taboada, Maite
%Y Popescu, Octavian
%Y Strapparava, Carlo
%S Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F kolhatkar-taboada-2017-using
%X We examine the extent to which we are able to automatically identify constructive online comments. We build several classifiers using New York Times Picks as positive examples and non-constructive thread comments from the Yahoo News Annotated Comments Corpus as negative examples of constructive online comments. We evaluate these classifiers on a crowd-annotated corpus containing 1,121 comments. Our best classifier achieves a top F1 score of 0.84.
%R 10.18653/v1/W17-4218
%U https://aclanthology.org/W17-4218/
%U https://doi.org/10.18653/v1/W17-4218
%P 100-105

Markdown (Informal)

[Using New York Times Picks to Identify Constructive Comments](https://aclanthology.org/W17-4218/) (Kolhatkar & Taboada, 2017)

• Using New York Times Picks to Identify Constructive Comments (Kolhatkar & Taboada, 2017)

ACL

• Varada Kolhatkar and Maite Taboada. 2017. Using New York Times Picks to Identify Constructive Comments. In Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pages 100–105, Copenhagen, Denmark. Association for Computational Linguistics.