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Cross-lingual summarization is the task of generating a summary in one language (e.g., English) for the given document(s) in a different language (e.g., Chinese).
LCSTS: A large scale Chinese short text summarization dataset
Baotian Hu, Qingcai Chen, and Fangze Zhu. 2015 · 1972
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Constructing literature abstracts by computer: Techniques and prospects
Chris D. Paice. 1990 · 1990
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The mathematics of statistical machine translation: Parameter estimation
Peter F. Brown, Stephen A. Della Pietra, Vincent J. Della Pietra, and Robert L. Mercer. 1993 · 1993
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Support-vector networks
Corinna Cortes and Vladimir Vapnik. 1995 · 1995
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The pagerank citation ranking: Bringing order to the web
Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. 1999 · 1999
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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 H. Hovy. 2003 · 2003
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Pre-trained models for natural language processing: A survey
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, and Xuanjing Huang. 2020 · 2003
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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TextRank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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Evaluation of a cross-lingual Romanian-English multi-document summariser
Constantin Orăsan and Oana Andreea Chiorean. 2008 · 2008
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Multi-task learning for cross-lingual abstractive summarization
Sho Takase and Naoaki Okazaki. 2020 · 2010
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Cross-language document summarization based on machine translation quality prediction
Xiaojun Wan, Huiying Li, and Jianguo Xiao. 2010 · 2010
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A graph-based approach to cross-language multi-document summarization
Florian Boudin, Stéphane Huet, and Juan-Manuel Torres-Moreno. 2011 · 2011
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Using bilingual information for cross-language document summarization
Xiaojun Wan. 2011 · 2011
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A simple, fast, and effective reparameterization of IBM model 2
Chris Dyer, Victor Chahuneau, and Noah A. Smith. 2013 · 2013
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Multi-document multilingual summarization and evaluation tracks in ACL 2013 MultiLing workshop
George Giannakopoulos. 2013 · 2013
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Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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MultiLing 2015: Multilingual summarization of single and multi-documents, on-line fora, and call-center conversations
George Giannakopoulos, Jeff Kubina, John Conroy, Josef Steinberger, Benoit Favre, Mijail Kabadjov, Udo Kruschwitz, and Massimo Poesio. 2015 · 2015
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
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Distilling the knowledge in a neural network
Geoffrey E. Hinton, Oriol Vinyals, and Jeffrey Dean. 2015 · 2015
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Learning structured output representation using deep conditional generative models
Kihyuk Sohn, Honglak Lee, and Xinchen Yan. 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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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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The United Nations parallel corpus v1.0
Michał Ziemski, Marcin Junczys-Dowmunt, and Bruno Pouliquen. 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, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Zero-shot cross-lingual neural headline generation
Ayana, Shi-qi Shen, Yun Chen, Cheng Yang, Zhi-yuan Liu, and Mao-song Sun. 2018 · 2018
Cited alongside, same era.
A discourse-aware attention model for abstractive summarization of long documents
Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian. 2018 · 2018
Cited alongside, same era.
The IIT Bombay English-Hindi parallel corpus
Anoop Kunchukuttan, Pratik Mehta, and Pushpak Bhattacharyya. 2018 · 2018
Cited alongside, same era.
Multi-modal sentence summarization with modality attention and image filtering
Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, and Chengqing Zong. 2018 · 2018
Cited alongside, same era.
Cross-language text summarization using sentence and multi-sentence compression
Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, and Andréa Carneiro Linhares. 2018 · 2018
Cited alongside, same era.
CCNet: Extracting high quality monolingual datasets from web crawl data
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, and Edouard Grave. 2020 · 2020
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Mixed-lingual pre-training for cross-lingual summarization
Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, and Xuedong Huang. 2020 · 2020
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PEGASUS: pre-training with extracted gap-sentences for abstractive summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J. Liu. 2020a · 2020
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Bertscore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020b · 2020
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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
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Ramon Sanabria, Ozan Caglayan, Shruti Palaskar, Desmond Elliott, Loïc Barrault, Lucia Specia, and Florian Metze. 2018 · 2018
Cited alongside, same era.
Cross-language document summarization via extraction and ranking of multiple summaries
Xiaojun Wan, Fuli Luo, Xue Sun, Songfang Huang, and Jin ge Yao. 2018 · 2018
Cited alongside, same era.
MSMO: Multimodal summarization with multimodal output
Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang, and Chengqing Zong. 2018 · 2018
Cited alongside, same era.
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
Cited alongside, same era.
SAMSum corpus: A human-annotated dialogue dataset for abstractive summarization
Bogdan Gliwa, Iwona Mochol, Maciej Biesek, and Aleksander Wawer. 2019 · 2019
Cited alongside, same era.
Facebook FAIR’s WMT19 news translation task submission
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, and Sergey Edunov. 2019 · 2019
Cited alongside, same era.
Global Voices: Crossing borders in automatic news summarization
Khanh Nguyen and Hal Daumé III. 2019 · 2019
Cited alongside, same era.
mT6: Multilingual pretrained text-to-text transformer with translation pairs
Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang, Saksham Singhal, Xian-Ling Mao, Heyan Huang, Xia Song, and Furu Wei. 2021a · 2021
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InfoXLM: An information-theoretic framework for cross-lingual language model pre-training
Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, and Ming Zhou. 2021b · 2021
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A novel Wikipedia based dataset for monolingual and cross-lingual summarization
Mehwish Fatima and Michael Strube. 2021 · 2021
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MM-AVS: A full-scale dataset for multi-modal summarization
Xiyan Fu, Jun Wang, and Zhenglu Yang. 2021 · 2021
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XL-sum: Large-scale multilingual abstractive summarization for 44 languages
Tahmid Hasan, Abhik Bhattacharjee, Md. Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, and Rifat Shahriyar. 2021b · 2021
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Evaluating the efficacy of summarization evaluation across languages
Fajri Koto, Jey Han Lau, and Timothy Baldwin. 2021 · 2021
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Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2021 · 2021
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VECO: Variable and flexible cross-lingual pre-training for language understanding and generation
Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, and Luo Si. 2021 · 2021
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Shuming Ma, Li Dong, Shaohan Huang, Dongdong Zhang, Alexandre Muzio, Saksham Singhal, Hany Hassan Awadalla, Xia Song, and Furu Wei. 2021 · 2021
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Models and datasets for cross-lingual summarisation
Laura Perez-Beltrachini and Mirella Lapata. 2021 · 2021
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WikiMatrix: Mining 135M parallel sentences in 1620 language pairs from Wikipedia
Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong, and Francisco Guzmán. 2021 · 2021
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Does knowledge distillation really work?
Samuel Stanton, Pavel Izmailov, Polina Kirichenko, Alexander A Alemi, and Andrew G Wilson. 2021 · 2021
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Multilingual translation from denoising pre-training
Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, and Angela Fan. 2021 · 2021
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Sportssum2.0: Generating high-quality sports news from live text commentary
Jiaan Wang, Zhixu Li, Qiang Yang, Jianfeng Qu, Zhigang Chen, Qingsheng Liu, and Guoping Hu. 2021 · 2021
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mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
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MediaSum: A large-scale media interview dataset for dialogue summarization
Chenguang Zhu, Yang Liu, Jie Mei, and Michael Zeng. 2021 · 2021
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ClueGraphSum: Let key clues guide the cross-lingual abstractive summarization
Shuyu Jiang, Dengbiao Tu, Xingshu Chen, R. Tang, Wenxian Wang, and Haizhou Wang. 2022 · 2022
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Improving neural cross-lingual abstractive summarization via employing optimal transport distance for knowledge distillation
Thong Thanh Nguyen and Anh Tuan Luu. 2022 · 2022
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A robust abstractive system for cross-lingual summarization
Jessica Ouyang, Boya Song, and Kathy McKeown. 2019 · 2031
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A variational hierarchical model for neural cross-lingual summarization
Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu, Yufeng Chen, Jinsong Su, and Jie Zhou. 2022 · 2099
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