Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad. Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. In Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty 0002, Yichao Zhou, editors, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. pages 704-717, Association for Computational Linguistics, 2021. [doi]
@inproceedings{FabbriHLLGJRM21,
title = {Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation},
author = {Alexander R. Fabbri and Simeng Han and Haoyuan Li and Haoran Li and Marjan Ghazvininejad and Shafiq R. Joty and Dragomir R. Radev and Yashar Mehdad},
year = {2021},
url = {https://www.aclweb.org/anthology/2021.naacl-main.57/},
researchr = {https://researchr.org/publication/FabbriHLLGJRM21},
cites = {0},
citedby = {0},
pages = {704-717},
booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021},
editor = {Kristina Toutanova and Anna Rumshisky and Luke Zettlemoyer and Dilek Hakkani-Tür and Iz Beltagy and Steven Bethard and Ryan Cotterell and Tanmoy Chakraborty 0002 and Yichao Zhou},
publisher = {Association for Computational Linguistics},
isbn = {978-1-954085-46-6},
}