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%0 Conference Proceedings
%T How State-Of-The-Art Models Can Deal With Long-Form Question Answering
%A Bui, Minh-Quan
%A Tran, Vu
%A Nguyen, Ha-Thanh
%A Nguyen, Le-Minh
%Y Nguyen, Minh Le
%Y Luong, Mai Chi
%Y Song, Sanghoun
%S Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation
%D 2020
%8 October
%I Association for Computational Linguistics
%C Hanoi, Vietnam
%F bui-etal-2020-state
%U https://aclanthology.org/2020.paclic-1.43
%P 375-382

Markdown (Informal)

[How State-Of-The-Art Models Can Deal With Long-Form Question Answering](https://aclanthology.org/2020.paclic-1.43) (Bui et al., PACLIC 2020)

• How State-Of-The-Art Models Can Deal With Long-Form Question Answering (Bui et al., PACLIC 2020)

ACL

• Minh-Quan Bui, Vu Tran, Ha-Thanh Nguyen, and Le-Minh Nguyen. 2020. How State-Of-The-Art Models Can Deal With Long-Form Question Answering. In Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, pages 375–382, Hanoi, Vietnam. Association for Computational Linguistics.