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This paper offers a comprehensive review of the research on Natural Language Generation (NLG) over the past two decades, especially in relation to data-to-text generation and text-to-text generation deep learning methods, as well as new applications of NLG technology.
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SQuAD: 100,000+ Questions for Machine Comprehension of Text. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
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Adversarial Learning for Visual Storytelling with Sense Group Partition. In Asian Conference on Computer Vision
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Recent Advances in Natural Language Generation: A Survey and Classification of the Empirical Literature
Rivindu Perera and Parma Nand. 2017 · 2017
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Self-Critical Sequence Training for Image Captioning. In IEEE Conference on Computer Vision and Pattern Recognition
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Get To The Point: Summarization with Pointer-Generator Networks. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Multiple Choice Question Generation Utilizing An Ontology. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
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End-to-End Learning for Short Text Expansion. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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Crowdsourcing Multiple Choice Science Questions. In Proceedings of the 3rd Workshop on Noisy User-generated Text
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Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems
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