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Deep learning based question answering (QA) on English documents has achieved success because there is a large amount of English training examples.
Cross-lingual language model pretraining
Guillaume Lample and Alexis Conneau. 2019 · 1901
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Polyglot contextual representations improve crosslingual transfer
Phoebe Mulcaire, Jungo Kasai, and Noah Smith. 2019 · 1902
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Overview of the ntcir-5 cross-lingual question answering task (clqa1)
Yutaka Sasaki, Hsin-Hsi Chen, Kuang-hua Chen, and Chuan-Jie Lin. 2005 · 2005
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Cross-lingual question answering by answer translation
Johan Bos and Malvina Nissim. 2006 · 2006
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Overview of the clef 2006 multilingual question answering track
Bernardo Magnini, Danilo Giampiccolo, Pamela Forner, Christelle Ayache, Valentin Jijkoun, Petya Osenova, Anselmo Peñas, Paulo Rocha, Bogdan Sacaleanu, and Richard Sutcliffe. 2006 · 2006
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A method of cross-lingual question-answering based on machine translation and noun phrase translation using web documents
Tatsunori Mori and Kousuke Takahashi. 2007 · 2007
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Domain adaptation of rule-based annotators for named-entity recognition tasks
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Frederick Reiss, and Shivakumar Vaithyanathan. 2010 · 2010
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Automatic domain adaptation for parsing
David McClosky, Eugene Charniak, and Mark Johnson. 2010 · 2010
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Joint bilingual sentiment classification with unlabeled parallel corpora
Bin Lu, Chenhao Tan, Claire Cardie, and Benjamin K Tsou. 2011 · 2011
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Combining multiple translation systems for spoken language understanding portability
Fernando García, Lluís F Hurtado, Encarna Segarra, Emilio Sanchis, and Giuseppe Riccardi. 2012 · 2012
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Multi-style adaptive training for robust cross-lingual spoken language understanding
Xiaodong He, Li Deng, Dilek Hakkani-Tur, and Gokhan Tur. 2013 · 2013
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Language style and domain adaptation for cross-language slu porting
Evgeny A Stepanov, Ilya Kashkarev, Ali Orkan Bayer, Giuseppe Riccardi, and Arindam Ghosh. 2013 · 2013
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A dataset for movie description
Anna Rohrbach, Marcus Rohrbach, Niket Tandon, and Bernt Schiele. 2015 · 2015
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Cross-lingual transfer of named entity recognizers without parallel corpora
Ayah Zirikly and Masato Hagiwara. 2015 · 2015
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Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016 · 2016
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Adversarial deep averaging networks for cross-lingual sentiment classification
Xilun Chen, Yu Sun, Ben Athiwaratkun, Claire Cardie, and Kilian Weinberger. 2016 · 2016
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From particular to general: A preliminary case study of transfer learning in reading comprehension
Rudolf Kadlec, Ondrej Bajgar, and Jan Kleindienst. 2016 · 2016
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How translation alters sentiment
Saif M Mohammad, Mohammad Salameh, and Svetlana Kiritchenko. 2016 · 2016
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Ms marco: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
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Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Bidirectional attention flow for machine comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2016 · 2016
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Adversarial multi-task learning of deep neural networks for robust speech recognition
Yusuke Shinohara. 2016 · 2016
Cross-lingual transfer learning for pos tagging without cross-lingual resources
Joo-Kyung Kim, Young-Bum Kim, Ruhi Sarikaya, and Eric Fosler-Lussier. 2017 · 2017
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Race: Large-scale reading comprehension dataset from examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, and Eduard Hovy. 2017 · 2017
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Stochastic answer networks for machine reading comprehension
Xiaodong Liu, Yelong Shen, Kevin Duh, and Jianfeng Gao. 2017 · 2017
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Question answering through transfer learning from large fine-grained supervision data
Sewon Min, Minjoon Seo, and Hannaneh Hajishirzi. 2017 · 2017
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Gated self-matching networks for reading comprehension and question answering
Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, and Ming Zhou. 2017 · 2017
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Newsqa: A machine comprehension dataset
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman. 2016 · 2016
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Dynamic coattention networks for question answering
Caiming Xiong, Victor Zhong, and Richard Socher. 2016 · 2016
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Adopting abstract images for semantic scene understanding
C Lawrence Zitnick, Ramakrishna Vedantam, and Devi Parikh. 2016 · 2016
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Reading Wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
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Supervised and unsupervised transfer learning for question answering
Yu-An Chung, Hung-Yi Lee, and James Glass. 2017 · 2017
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Word translation without parallel data
Alexis Conneau, Guillaume Lample, Marc’Aurelio Ranzato, Ludovic Denoyer, and Hervé Jégou. 2017 · 2017
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Two-stage synthesis networks for transfer learning in machine comprehension
David Golub, Po-Sen Huang, Xiaodong He, and Li Deng. 2017 · 2017
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Neural domain adaptation for biomedical question answering
Georg Wiese, Dirk Weissenborn, and Mariana Neves. 2017 · 2017
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Transfer learning for sequence tagging with hierarchical recurrent networks
Zhilin Yang, Ruslan Salakhutdinov, and William W Cohen. 2017 · 2017
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Multilingual extractive reading comprehension by runtime machine translation
Akari Asai, Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka. 2018 · 2018
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Think you have solved question answering? try arc, the ai2 reasoning challenge
Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, and Oyvind Tafjord. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Odsqa: Open-domain spoken question answering dataset
Chia-Hsuan Lee, Shang-Ming Wang, Huan-Cheng Chang, and Hung-Yi Lee. 2018 · 2018
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Chia-Hsuan Li, Szu-Lin Wu, Chi-Liang Liu, and Hung-yi Lee. 2018 · 2018
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Cross-lingual transfer learning for multilingual task oriented dialog
Sebastian Schuster, Sonal Gupta, Rushin Shah, and Mike Lewis. 2018 · 2018
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Drcd: a chinese machine reading comprehension dataset
Chih Chieh Shao, Trois Liu, Yuting Lai, Yiying Tseng, and Sam Tsai. 2018 · 2018
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Wei Wang, Ming Yan, and Chen Wu. 2018 · 2018
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Qanet: Combining local convolution with global self-attention for reading comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc V Le. 2018 · 2018
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Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky. 2016 · 2030
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