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We construct Global Voices, a multilingual dataset for evaluating cross-lingual summarization methods.
Duc in context
Paul Over, Hoa Dang, and Donna Harman. 2007 · 2007
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Overview of the tac 2008 update summarization task
Hoa Trang Dang and Karolina Owczarzak. 2008 · 2008
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The new york times annotated corpus
Evan Sandhaus. 2008 · 2008
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Overview of tac 2010 summarization track
Hoa Trang Dang and Karolina Owczarzak. 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
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pyarabic, an arabic language library for python
Taha Zerrouki. 2010 · 2010
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Multi-document multilingual summarization corpus preparation, part 2: Czech, Hebrew and Spanish
Michael Elhadad, Sabino Miranda-Jiménez, Josef Steinberger, and George Giannakopoulos. 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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Multi-document multilingual summarization corpus preparation, part 1: Arabic, English, Greek, Chinese, Romanian
Lei Li, Corina Forascu, Mahmoud El-Haj, and George Giannakopoulos. 2013 · 2013
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 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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Text summarization techniques: a brief survey
Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi, Saeid Safaei, Elizabeth D Trippe, Juan B Gutierrez, and Krys Kochut. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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A survey on neural network-based summarization methods
Yue Dong. 2018 · 2018
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The multitarget ted talks task
Kevin Duh. 2018 · 2018
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Bottom-up abstractive summarization
Sebastian Gehrmann, Yuntian Deng, and Alexander M Rush. 2018 · 2018
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fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
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A robust abstractive system for cross-lingual summarization
Jessica Ouyang, Boya Song, and Kathleen McKeown. 2019 · 2031
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Mahak Gambhir and Vishal Gupta. 2017 · 2017
Cited alongside, same era.
Opennmt: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M Rush. 2017 · 2017
Cited alongside, same era.
Fasttext.zip: Compressing text classification models
Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hérve Jégou, and Tomas Mikolov. 2016a
Cited in the paper.
Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2016b
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