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Cross-lingual summarization (CLS) is the task to produce a summary in one particular language for a source document in a different language.
LCSTS: A large scale Chinese short text summarization dataset
Baotian Hu, Qingcai Chen, and Fangze Zhu. 2015 · 1972
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Multitask learning
Rich Caruana. 1997 · 1997
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Multi-document summarization by sentence extraction
Jade Goldstein, Vibhu Mittal, Jaime Carbonell, and Mark Kantrowitz. 2000 · 2000
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Cross-lingual c* st* rd: English access to Hindi information
Anton Leuski, Chin-Yew Lin, Liang Zhou, Ulrich Germann, Franz Josef Och, and Eduard Hovy. 2003 · 2003
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Lexrank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R Radev. 2004 · 2004
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Multi-document summarization using cross-language texts
Jung-Min Lim, In-Su Kang, and Jong-Hyeok Lee. 2004 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Evaluation of a cross-lingual Romanian-English multi-document summariser
Constantin Orasan and Oana Andreea Chiorean. 2008 · 2008
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio. 2010 · 2010
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Cross-language document summarization based on machine translation quality prediction
Xiaojun Wan, Huiying Li, and Jianguo Xiao. 2010 · 2010
Cited alongside, same era.
Using bilingual information for cross-language document summarization
Xiaojun Wan. 2011 · 2011
Cited alongside, same era.
Multi-task learning for multiple language translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang. 2015 · 2015
Cited alongside, same era.
Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Phrase-based compressive cross-language summarization
Jin-ge Yao, Xiaojun Wan, and Jianguo Xiao. 2015 · 2015
Cited alongside, same era.
Abstractive cross-language summarization via translation model enhanced predicate argument structure fusing
Jiajun Zhang, Yu Zhou, and Chengqing Zong. 2016 · 2016
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Later among the works it cites.
Zero-shot cross-lingual neural headline generation
Ayana, shi-qi Shen, Yun Chen, Cheng Yang, Zhi-yuan Liu, and Maosong Sun. 2018 · 2018
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Unsupervised machine translation using monolingual corpora only
Guillaume Lample, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018 · 2018
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Incorporating copying mechanism in sequence-to-sequence learning
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor O.K. Li. 2016 · 2016
Cited alongside, same era.
Multi-task sequence to sequence learning
Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, and Lukasz Kaiser. 2016 · 2016
Cited alongside, same era.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Cited alongside, same era.
Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang, and Chengqing Zong. 2018 · 2018
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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
Closest in time.
A robust abstractive system for cross-lingual summarization
Jessica Ouyang, Boya Song, and Kathy McKeown. 2019 · 2031
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Deep recurrent generative decoder for abstractive text summarization
Piji Li, Wai Lam, Lidong Bing, and Zihao Wang. 2017 · 2091
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