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Abstract: Inspired by how humans summarize long documents, we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them abstractively (i.e., compresses and paraphrases) to generate a concise overall summary. We use a novel sentence-level policy gradient method to bridge the non-differentiable computation between these two neural networks in a hierarchical way, while maintaining language fluency. Empirically, we achieve the new state-of-the-art on all metrics (including human evaluation) on the CNN/Daily Mail dataset, as well as significantly higher abstractiveness scores. Moreover, by first operating at the sentence-level and then the word-level, we enable parallel decoding of our neural generative model that results in substantially faster (10-20x) inference speed as well as 4x faster training convergence than previous long-paragraph encoder-decoder models. We also demonstrate the generalization of our model on the test-only DUC-2002 dataset, where we achieve higher scores than a state-of-the-art model.
Comments: ACL 2018 (17 pages)
White cotton top Fabnest ZvqKCDLDP Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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Submission history

From: Yen-Chun Chen [ White Shirt Van Heusen 6UwFSw
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Product Details

Brand
Fabnest
Product Code
APPFABNEST-WHITFABN61951985447AC5
Color
White
Size
XL
Material
Crepe
Occasion
Casual
Pattern
Solid
Sleeve
Sleeveless
Neck Type
Sweetheart
Type
Tops
Gender
Women
Set Contents
1
Wash Care
Machine Wash
Style Code
18FABNCL7