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[notes] notes of Transformer [6] LAUSpectrum 2019-09-28 20:24 阅读:201 评论:0 推荐:0

[notes] notes of Transformer [5] LAUSpectrum 2019-09-28 20:14 阅读:169 评论:0 推荐:0

[paper] Multi-Task Learning for Abstractive and Extractive Summarization LAUSpectrum 2019-09-17 21:11 阅读:249 评论:0 推荐:0

[paper] From Neural Sentence Summarization to Headline Generation: A Coarse-to-Fine Approach LAUSpectrum 2019-09-16 18:22 阅读:268 评论:0 推荐:0

[paper] Scoring Sentence Singletons and Pairs for Abstractive Summarization LAUSpectrum 2019-09-16 16:04 阅读:542 评论:0 推荐:0

[paper] Ontology-Aware Clinical Abstractive Summarization LAUSpectrum 2019-09-15 22:18 阅读:204 评论:0 推荐:0

[paper] HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization LAUSpectrum 2019-09-15 21:31 阅读:682 评论:0 推荐:0

[paper] On Extractive and Abstractive Neural Document Summarization with Transformer Language Models LAUSpectrum 2019-09-14 22:42 阅读:879 评论:1 推荐:0

[paper] Hierarchical Transformers for Multi-Document Summarization LAUSpectrum 2019-09-14 21:14 阅读:762 评论:0 推荐:0

[notes] notes of Transformer [4] LAUSpectrum 2019-07-25 21:25 阅读:177 评论:0 推荐:0

[notes] notes of Transformer [3] LAUSpectrum 2019-07-25 10:02 阅读:181 评论:1 推荐:0

[paper] Pay Less Attention with Lightweight and Dynamic Convolutions LAUSpectrum 2019-07-21 15:15 阅读:740 评论:0 推荐:0

[report] Transformers and Pointer-Generator Networks for Abstractive Summarization LAUSpectrum 2019-07-16 23:12 阅读:1252 评论:8 推荐:1

[report] Just News It: Abstractive Text Summarization with a Pointer-Generator Transformer LAUSpectrum 2019-07-16 21:24 阅读:471 评论:1 推荐:1

[report] Faster Transformers for Text Summarization LAUSpectrum 2019-07-16 17:32 阅读:306 评论:0 推荐:0

[report] Faster Transformers for Document Summarization LAUSpectrum 2019-07-16 12:36 阅读:186 评论:0 推荐:0

[notes] notes of Transformer [2] LAUSpectrum 2019-07-15 21:40 阅读:165 评论:0 推荐:0

[paper] Improving Language Understanding by Generative Pre-Training LAUSpectrum 2019-07-12 12:01 阅读:1296 评论:0 推荐:0

[paper] Self-Attention with Relative Position Representations LAUSpectrum 2019-07-11 21:21 阅读:664 评论:0 推荐:0

[paper] Efficient Adaptation of Pretrained Transformers for Abstractive Summarization LAUSpectrum 2019-07-11 13:03 阅读:396 评论:0 推荐:0