Scholars@Duke publication: Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models

Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models

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Grzywinski, R; D'Arcy, J; Naidoff, R; Shukla, A; Browne, A; Gibbons, R; Bent, B

November 27, 2023

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Duke Scholars

Author Brinnae Bent Engineering Graduate and Professional Programs

Publication Date

November 27, 2023

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Grzywinski, R., D’Arcy, J., Naidoff, R., Shukla, A., Browne, A., Gibbons, R., & Bent, B. (2023). Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models.

Grzywinski, Rob, Joshua D’Arcy, Rob Naidoff, Ashish Shukla, Alex Browne, Ren Gibbons, and Brinnae Bent. “Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models,” November 27, 2023.

Grzywinski R, D’Arcy J, Naidoff R, Shukla A, Browne A, Gibbons R, et al. Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models. 2023.

Grzywinski, Rob, et al. Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models. 27 Nov. 2023.

Grzywinski R, D’Arcy J, Naidoff R, Shukla A, Browne A, Gibbons R, Bent B. Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models. 2023.

Publication Date

November 27, 2023