[notes] 从 word representation 到 BERT
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posted @ 2019-06-01 21:54 LAUSpectrum 阅读(201) 评论(0) 推荐(0)
[notes] 计划采样 Scheduled Sampling 细节
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posted @ 2019-06-01 21:52 LAUSpectrum 阅读(1310) 评论(0) 推荐(0)
[paper] A Deep Reinforced Model for Abstractive Summarization
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posted @ 2019-06-01 21:44 LAUSpectrum 阅读(537) 评论(1) 推荐(0)
[paper] MASS: Masked Sequence to Sequence Pre-training for Language Generation
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posted @ 2019-06-01 21:41 LAUSpectrum 阅读(663) 评论(1) 推荐(0)
[paper] Pretraining-Based Natural Language Generation for Text Summarization
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posted @ 2019-06-01 21:38 LAUSpectrum 阅读(738) 评论(0) 推荐(0)
[paper] A Hierarchical Neural Autoencoder for Paragraphs and Documents
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posted @ 2019-06-01 21:35 LAUSpectrum 阅读(246) 评论(0) 推荐(0)
[paper] Natural Language Generation by Hierarchical Decoding with Linguistic Patterns
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posted @ 2019-06-01 21:32 LAUSpectrum 阅读(188) 评论(0) 推荐(0)
[paper] Generating Text via Adversarial Training
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posted @ 2019-06-01 21:29 LAUSpectrum 阅读(1102) 评论(0) 推荐(0)
[paper] GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
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posted @ 2019-06-01 21:26 LAUSpectrum 阅读(535) 评论(0) 推荐(0)
[paper] SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
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posted @ 2019-06-01 21:20 LAUSpectrum 阅读(474) 评论(1) 推荐(0)
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