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We aim to automatically generate natural language descriptions about an input structured knowledge base (KB).
Design of a knowledge-based report generator
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Open information extraction using wikipedia
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Identifying relations for open information extraction
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Learning where to attend with deep architectures for image tracking
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Unsupervised concept-to-text generation with hypergraphs
Ioannis Konstas and Mirella Lapata. 2012b · 2012
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Ensemble semantics for large-scale unsupervised relation extraction
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Abstract meaning representation for sembanking
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Nadjet Bouayad-Agha, Gerard Casamayor, and Leo Wanner. 2013 · 2013
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Generating natural language from linked data: Unsupervised template extraction
Daniel Duma and Ewan Klein. 2013 · 2013
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Inducing document plans for concept-to-text generation
Ioannis Konstas and Mirella Lapata. 2013b · 2013
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Open information extraction with tree kernels
Ying Xu, Mi-Young Kim, Kevin Quinn, Randy Goebel, and Denilson Barbosa. 2013 · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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Meteor universal: Language specific translation evaluation for any target language
Michael Denkowski and Alon Lavie. 2014 · 2014
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Dimitra Gkatzia and Saad Mahamood. 2015 · 2014
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Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
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
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Generating english from abstract meaning representations
Nima Pourdamghani, Kevin Knight, and Ulf Hermjakob. 2016 · 2016
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Learning to generate one-sentence biographies from wikidata
Andrew Chisholm, Will Radford, and Ben Hachey. 2017 · 2017
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Structured attention networks
Yoon Kim, Carl Denton, Luong Hoang, and Alexander M Rush. 2017 · 2017
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A structured self-attentive sentence embedding
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017 · 2017
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Improving semantic relevance for sequence-to-sequence learning of chinese social media text summarization
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Leveraging linguistic structure for open domain information extraction
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Addressing the rare word problem in neural machine translation
Thang Luong, Ilya Sutskever, Quoc Le, Oriol Vinyals, and Wojciech Zaremba. 2015 · 2015
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015 · 2015
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Semantically conditioned lstm-based natural language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, Pei-Hao Su, David Vandyke, and Steve Young. 2015 · 2015
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Nested propositions in open information extraction
Nikita Bhutani, HV Jagadish, and Dragomir Radev. 2016 · 2016
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Shuming Ma, Xu Sun, Jingjing Xu, Houfeng Wang, Wenjie Li, and Qi Su. 2017 · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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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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Challenges in data-to-document generation
Sam Wiseman, Stuart Shieber, and Alexander Rush. 2017 · 2017
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Open relation extraction and grounding
Dian Yu, Lifu Huang, and Heng Ji. 2017 · 2017
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Table-to-text generation by structure-aware seq2seq learning
Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, and Zhifang Sui. 2018 · 2018
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