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We present a multi-task learning framework for cross-lingual abstractive summarization to augment training data.
JParaCrawl: A large scale web-based japanese-english parallel corpus
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Annotated Gigaword
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Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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Multi-task learning for multiple language translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang. 2015 · 2015
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A neural attention model for abstractive sentence summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
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Phrase-based compressive cross-language summarization
Jin-ge Yao, Xiaojun Wan, and Jianguo Xiao. 2015 · 2015
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First result on arabic neural machine translation
Amjad Almahairi, Kyunghyun Cho, Nizar Habash, and Aaron C. Courville. 2016 · 2016
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Joint training for pivot-based neural machine translation
Yong Cheng, Qian Yang, Yang Liu, Maosong Sun, and Wei Xu. 2017 · 2017
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Google’s multilingual neural machine translation system: Enabling zero-shot translation
Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2017 · 2017
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Source-side prediction for neural headline generation
Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, and Masaaki Nagata. 2017 · 2017
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NTT neural machine translation systems at WAT 2017
Makoto Morishita, Jun Suzuki, and Masaaki Nagata. 2017 · 2017
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Attention is all you need
Upping the ante: Towards a better benchmark for Chinese-to-English machine translation
Christian Hadiwinoto and Hwee Tou Ng. 2018 · 2018
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Subword regularization: Improving neural network translation models with multiple subword candidates
Taku Kudo. 2018 · 2018
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Tagged back-translation
Isaac Caswell, Ciprian Chelba, and David Grangier. 2019 · 2019
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Robust neural machine translation with doubly adversarial inputs
Yong Cheng, Lu Jiang, and Wolfgang Macherey. 2019 · 2019
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Zero-shot cross-lingual abstractive sentence summarization through teaching generation and attention
Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, and Weihua Luo. 2019 · 2019
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A large-scale multi-length headline corpus for improving length-constrained headline generation model evaluation
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Deep neural machine translation with linear associative unit
Mingxuan Wang, Zhengdong Lu, Jie Zhou, and Qun Liu. 2017 · 2017
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Selective encoding for abstractive sentence summarization
Qingyu Zhou, Nan Yang, Furu Wei, and Ming Zhou. 2017 · 2017
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A recipe for arabic-english neural machine translation
Abdullah Alrajeh. 2018 · 2018
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Zero-shot cross-lingual neural headline generation
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Faithful to the original: Fact aware neural abstractive summarization
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Towards robust neural machine translation
Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, and Yang Liu. 2018 · 2018
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Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Inui Kentaro, and Manabu Okumura. 2019 · 2019
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Sarah’s participation in WAT 2019
Raymond Hendy Susanto, Ohnmar Htun, and Liling Tan. 2019 · 2019
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Positional encoding to control output sequence length
Sho Takase and Naoaki Okazaki. 2019 · 2019
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Bridging the gap between training and inference for neural machine translation
Wen Zhang, Yang Feng, Fandong Meng, Di You, and Qun Liu. 2019 · 2019
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NCLS: Neural cross-lingual summarization
Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, and Chengqing Zong. 2019 · 2019
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Attend, translate and summarize: An efficient method for neural cross-lingual summarization
Junnan Zhu, Yu Zhou, Jiajun Zhang, and Chengqing Zong. 2020 · 2020
Closest in time.
A robust abstractive system for cross-lingual summarization
Jessica Ouyang, Boya Song, and Kathy McKeown. 2019 · 2031
Closest in time.