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%0 Conference Proceedings
%T MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization
%A Manakul, Potsawee
%A Liusie, Adian
%A Gales, Mark
%Y Park, Jong C.
%Y Arase, Yuki
%Y Hu, Baotian
%Y Lu, Wei
%Y Wijaya, Derry
%Y Purwarianti, Ayu
%Y Krisnadhi, Adila Alfa
%S Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2023
%8 November
%I Association for Computational Linguistics
%C Nusa Dua, Bali
%F manakul-etal-2023-mqag
%R 10.18653/v1/2023.ijcnlp-main.4
%U https://aclanthology.org/2023.ijcnlp-main.4
%U https://doi.org/10.18653/v1/2023.ijcnlp-main.4
%P 39-53

Markdown (Informal)

[MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization](https://aclanthology.org/2023.ijcnlp-main.4) (Manakul et al., IJCNLP-AACL 2023)

• MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization (Manakul et al., IJCNLP-AACL 2023)

ACL

• Potsawee Manakul, Adian Liusie, and Mark Gales. 2023. MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 39–53, Nusa Dua, Bali. Association for Computational Linguistics.