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        <namePart type="given">Omar</namePart>
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            <namePart type="given">Candace</namePart>
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            <namePart type="given">Matthew</namePart>
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            <namePart type="given">ChengXiang</namePart>
            <namePart type="family">Zhai</namePart>
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%0 Conference Proceedings
%T Using “Annotator Rationales” to Improve Machine Learning for Text Categorization
%A Zaidan, Omar
%A Eisner, Jason
%A Piatko, Christine
%Y Sidner, Candace
%Y Schultz, Tanja
%Y Stone, Matthew
%Y Zhai, ChengXiang
%S Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference
%D 2007
%8 April
%I Association for Computational Linguistics
%C Rochester, New York
%F zaidan-etal-2007-using
%U https://aclanthology.org/N07-1033
%P 260-267

Markdown (Informal)

[Using “Annotator Rationales” to Improve Machine Learning for Text Categorization](https://aclanthology.org/N07-1033) (Zaidan et al., NAACL 2007)

• Using “Annotator Rationales” to Improve Machine Learning for Text Categorization (Zaidan et al., NAACL 2007)

ACL

• Omar Zaidan, Jason Eisner, and Christine Piatko. 2007. Using “Annotator Rationales” to Improve Machine Learning for Text Categorization. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, pages 260–267, Rochester, New York. Association for Computational Linguistics.