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Question answering (QA) models have shown rapid progress enabled by the availability of large, high-quality benchmark datasets.
Cross-lingual Language Model Pretraining
Guillaume Lample and Alexis Conneau. 2019 · 1901
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XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering
Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, and Richard Socher. 2019 · 1905
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Cross-Lingual Training for Automatic Question Generation
Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, and Preethi Jyothi. 2019 · 1906
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Neural Arabic Question Answering
Hussein Mozannar, Karl El Hajal, Elie Maamary, and Hazem Hajj. 2019 · 1906
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Cross-Lingual Transfer Learning for Question Answering
Chia-Hsuan Lee and Hung-Yi Lee. 2019 · 1907
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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. 2019 · 1907
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Momchil Hardalov, Ivan Koychev, and Preslav Nakov. 2019 · 1908
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XCMRC: Evaluating Cross-lingual Machine Reading Comprehension
Pengyuan Liu, Yuning Deng, Chenghao Zhu, and Han Hu. 2019b · 1908
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Korquad1.0: Korean qa dataset for machine reading comprehension
Seungyoung Lim, Myungji Kim, and Jooyoul Lee. 2019 · 1909
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On the Cross-lingual Transferability of Monolingual Representations
Mikel Artetxe, Sebastian Ruder, and Dani Yogatama. 2019 · 1910
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Xtreme: A massively multilingual multi-task benchmark for evaluating cross-lingual generalization
Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, and Melvin Johnson. 2020 · 2003
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Rcv1: A new benchmark collection for text categorization research
David D. Lewis, Yiming yang, Tony G. Rose, and Fan Li. 2004 · 2004
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Xglue: A new benchmark dataset for cross-lingual pre-training, understanding and generation
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, and Ming Zhou. 2020 · 2004
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Inducing Crosslingual Distributed Representations of Words
Alexandre Klementiev, Ivan Titov, and Binod Bhattarai. 2012 · 2012
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Multilingual Question Answering over Linked Data (QALD-3): Lab Overview
Philipp Cimiano, Vanessa López, Christina Unger, Elena Cabrio, Axel-Cyrille Ngonga Ngomo, and Sebastian Walter. 2013 · 2013
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MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
Matthew Richardson. 2013 · 2013
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Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling
Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan, and Huaiyu Zhu. 2015 · 2015
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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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Question Answering over Linked Data (QALD-5)
Christina Unger, Corina Forescu, Vanessa Lopez, Axel-Cyrille Ngonga Ngomo, Elena Cabrio, Philipp Cimiano, and Sebastian Walter. 2015 · 2015
Cited alongside, same era.
The Goldilocks Principle: Reading Children’s Books with Explicit Memory Representations
Felix Hill, Antoine Bordes, Sumit Chopra, and Jason Weston. 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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Reading Wikipedia to Answer Open-Domain Questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
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spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing
Matthew Honnibal and Ines Montani. 2017 · 2017
Cited alongside, same era.
What Makes Reading Comprehension Questions Easier?
Saku Sugawara, Kentaro Inui, Satoshi Sekine, and Akiko Aizawa. 2018 · 2018
Later among the works it cites.
WikiQA: A Challenge Dataset for Open-Domain Question Answering
Yi Yang, Wen-tau Yih, and Christopher Meek. 2015 · 2018
Later among the works it cites.
MuG-QA: Multilingual Grammatical Question Answering for RDF Data
Elizaveta Zimina, Jyrki Nummenmaa, Kalervo Jarvelin, Jaakko Peltonen, and Kostas Stefanidis. 2018 · 2018
Later among the works it cites.
Synthetic QA Corpora Generation with Roundtrip Consistency
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, and Michael Collins. 2019 · 2019
Closest in time.
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
Mikel Artetxe and Holger Schwenk. 2019 · 2019
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Cross-Lingual Machine Reading Comprehension
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, and Guoping Hu. 2019a · 2019
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TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer. 2017 · 2017
Cited alongside, same era.
NewsQA: A Machine Comprehension Dataset
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman. 2017 · 2017
Cited alongside, same era.
Pytext: A seamless path from nlp research to production
Ahmed Aly, Kushal Lakhotia, Shicong Zhao, Mrinal Mohit, Barlas Oguz, Abhinav Arora, Sonal Gupta, Christopher Dewan, Stef Nelson-Lindall, and Rushin Shah. 2018 · 2018
Cited alongside, same era.
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Mikel Artetxe and Holger Schwenk. 2018 · 2018
Cited alongside, same era.
Multilingual Extractive Reading Comprehension by Runtime Machine Translation
Akari Asai, Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka. 2018 · 2018
Cited alongside, same era.
XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk, and Veselin Stoyanov. 2018 · 2018
Cited alongside, same era.
A Span-Extraction Dataset for Chinese Machine Reading Comprehension
Yiming Cui, Ting Liu, Li Xiao, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, and Guoping Hu. 2018 · 2018
Cited alongside, same era.
Closest in time.
A Span-Extraction Dataset for Chinese Machine Reading Comprehension
Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, and Guoping Hu. 2019b · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Improving the Robustness of Question Answering Systems to Question Paraphrasing
Wee Chung Gan and Hwee Tou Ng. 2019 · 2019
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Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model
Tsung-Yuan Hsu, Chi-Liang Liu, and Hung-yi Lee. 2019 · 2019
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BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels
Yimin Jing, Deyi Xiong, and Zhen Yan. 2019 · 2019
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Natural Questions: a Benchmark for Question Answering Research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Matthew Kelcey, Jacob Devlin, Kenton Lee, Kristina N. Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
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Learning with Limited Data for Multilingual Reading Comprehension
Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, and Juho Lee. 2019 · 2019
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Unsupervised Question Answering by Cloze Translation
Patrick Lewis, Ludovic Denoyer, and Sebastian Riedel. 2019 · 2019
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XQA: A Cross-lingual Open-domain Question Answering Dataset
Jiahua Liu, Yankai Lin, Zhiyuan Liu, and Maosong Sun. 2019a · 2019
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GLUE: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2019 · 2019
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Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia and Percy Liang. 2017 · 2031
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