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We present DART, an open domain structured DAta Record to Text generation dataset with over 82k instances (DARTs).
Natural language generation in health care
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Attention is all you need
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Amit Moryossef, Yoav Goldberg, and Ido Dagan. 2019 · 2019
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Data-to-text generation with entity modeling
Ratish Puduppully, Li Dong, and Mirella Lapata. 2019 · 2019
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Enhancing AMR-to-text generation with dual graph representations
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MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M Meyer, and Steffen Eger. 2019 · 2019
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
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