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Structured data summarization involves generation of natural language summaries from structured input data.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Learning semantic correspondences with less supervision
Percy Liang, Michael I. Jordan, and Dan Klein. 2009 · 2009
Earlier work this paper cites.
A simple domain-independent probabilistic approach to generation
Gabor Angeli, Percy Liang, and Dan Klein. 2010 · 2010
Earlier work this paper cites.
Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio. 2010 · 2010
Earlier work this paper cites.
Inducing document plans for concept-to-text generation
Ioannis Konstas and Mirella Lapata. 2013 · 2013
Earlier work this paper cites.
Generating natural language descriptions from OWL ontologies: the naturalowl system
Ion Androutsopoulos, Gerasimos Lampouras, and Dimitrios Galanis. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
TensorFlow: Large-scale machine learning on heterogeneous systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2015 · 2015
Cited alongside, same era.
Describing multimedia content using attention-based encoder-decoder networks
KyungHyun Cho, Aaron C. Courville, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
The webnlg challenge: Generating text from dbpedia data
Emilie Colin, Claire Gardent, Yassine Mrabet, Shashi Narayan, and Laura Perez-Beltrachini. 2016 · 2016
Cited alongside, same era.
Sequence-to-sequence rnns for text summarization
Ramesh Nallapati, Bing Xiang, and Bowen Zhou. 2016 · 2016
Later among the works it cites.
Image-to-markup generation with coarse-to-fine attention
Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, and Alexander M. Rush. 2017 · 2017
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Coarse-to-fine attention models for document summarization
Jeffrey Ling and Alexander M. Rush. 2017 · 2017
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Challenges in data-to-document generation
Sam Wiseman, Stuart M. Shieber, and Alexander M. Rush. 2017 · 2017
Later among the works it cites.
Summarizing source code using a neural attention model
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, and Luke Zettlemoyer. 2016 · 2083
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Neural text generation from structured data with application to the biography domain
Rémi Lebret, David Grangier, and Michael Auli. 2016 · 2016
Cited alongside, same era.
What to talk about and how? selective generation using lstms with coarse-to-fine alignment
Hongyuan Mei, Mohit Bansal, and Matthew R. Walter. 2016 · 2016
Cited alongside, same era.