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%0 Conference Proceedings
%T Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering
%A Gupta, Aditya
%A Xu, Jiacheng
%A Upadhyay, Shyam
%A Yang, Diyi
%A Faruqui, Manaal
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 aug
%I Association for Computational Linguistics
%C Online
%F gupta-etal-2021-disfl
%R 10.18653/v1/2021.findings-acl.293
%U https://aclanthology.org/2021.findings-acl.293
%U https://doi.org/10.18653/v1/2021.findings-acl.293
%P 3309-3319

Markdown (Informal)

[Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering](https://aclanthology.org/2021.findings-acl.293) (Gupta et al., Findings 2021)

• Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering (Gupta et al., Findings 2021)

ACL

• Aditya Gupta, Jiacheng Xu, Shyam Upadhyay, Diyi Yang, and Manaal Faruqui. 2021. Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3309–3319, Online. Association for Computational Linguistics.