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Obtaining training data for Question Answering (QA) is time-consuming and resource-intensive, and existing QA datasets are only available for limited domains and languages.
Cross-lingual Language Model Pretraining
Guillaume Lample and Alexis Conneau. 2019 · 1901
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Evaluating Rewards for Question Generation Models
Tom Hosking and Sebastian Riedel. 2019 · 1902
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Harvesting Paragraph-level Question-Answer Pairs from Wikipedia
Xinya Du and Claire Cardie. 2018 · 1917
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The Penn Treebank: annotating predicate argument structure
Mitchell Marcus, Grace Kim, Mary Ann Marcinkiewicz, Robert MacIntyre, Ann Bies, Mark Ferguson, Karen Katz, and Britta Schasberger. 1994 · 1994
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Probabilistic latent semantic indexing
Thomas Hofmann. 1999 · 1999
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Latent dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003 · 2003
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Moses: Open Source Toolkit for Statistical Machine Translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan Herbst. 2007 · 2007
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A unified architecture for natural language processing: Deep neural networks with multitask learning
Ronan Collobert and Jason Weston. 2008 · 2008
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Good Question! Statistical Ranking for Question Generation
Michael Heilman and Noah A. Smith. 2010 · 2010
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The First Question Generation Shared Task Evaluation Challenge
Vasile Rus, Brendan Wyse, Paul Piwek, Mihai Lintean, Svetlana Stoyanchev, and Cristian Moldovan. 2010 · 2010
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Question Generation from Concept Maps
Andrew M. Olney, Arthur C. Graesser, and Natalie K. Person. 2012 · 2012
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Semantics-based Question Generation and Implementation
Xuchen Yao, Gosse Bouma, and Yi Zhang. 2012 · 2012
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Semantic Parsing on Freebase from Question-Answer Pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013 · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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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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Semi-supervised Question Retrieval with Gated Convolutions
Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti, and Lluís Màrquez. 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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ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2016 · 2016
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Simple and Effective Multi-Paragraph Reading Comprehension
Christopher Clark and Matt Gardner. 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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Learning to Ask: Neural Question Generation for Reading Comprehension
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik and Zachary C. Lipton. 2018 · 2018
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Phrase-Based & Neural Unsupervised Machine Translation
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018 · 2018
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Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge
Todor Mihaylov and Anette Frank. 2018 · 2018
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Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min, Victor Zhong, Richard Socher, and Caiming Xiong. 2018 · 2018
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Improving language understanding by generative pre-training
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Xinya Du, Junru Shao, and Claire Cardie. 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
Cited alongside, same era.
Unsupervised Machine Translation Using Monolingual Corpora Only
Guillaume Lample, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2017 · 2017
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A Minimal Span-Based Neural Constituency Parser
Mitchell Stern, Jacob Andreas, and Dan Klein. 2017 · 2017
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Dynamic Integration of Background Knowledge in Neural NLU Systems
Dirk Weissenborn, Tomáš Kočiský, and Chris Dyer. 2017 · 2017
Cited alongside, same era.
Semi-Supervised QA with Generative Domain-Adaptive Nets
Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, and William Cohen. 2017 · 2017
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Machine Comprehension by Text-to-Text Neural Question Generation
Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, and Adam Trischler. 2017 · 2017
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Unsupervised statistical machine translation
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2018 · 2018
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Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Know What You Don’t Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
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CoQA: A Conversational Question Answering Challenge
Siva Reddy, Danqi Chen, and Christopher D. Manning. 2018 · 2018
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Multiple-Attribute Text Style Transfer
Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y.-Lan Boureau. 2018 · 2018
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What Makes Reading Comprehension Questions Easier?
Saku Sugawara, Kentaro Inui, Satoshi Sekine, and Akiko Aizawa. 2018 · 2018
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Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension
Liang Wang, Sujian Li, Wei Zhao, Kewei Shen, Meng Sun, Ruoyu Jia, and Jingming Liu. 2018 · 2018
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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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Generative question answering: Learning to answer the whole question
Mike Lewis and Angela Fan. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Alignment over Heterogeneous Embeddings for Question Answering
Vikas Yadav, Steven Bethard, and Mihai Surdeanu. 2019 · 2019
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Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, and Qifa Ke. 2018 · 2019
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Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia and Percy Liang. 2017 · 2031
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