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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)
Jeans Mid Rise Blue Lawman Fit Men Pg3 s Slim 1bUXp Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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Submission history

From: Yen-Chun Chen [ Komal Trading CottonShrugs CoMultiPoly jEwu6Co
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Product Details

Brand
Lawman Pg3
Product Code
APPLAWMAN-PG3-MKKCL529373A9F0ADCE
Color
Multicolor
Size
36
Material
Cotton
Rise
Mid Rise
Pattern
Solid
Fit
Slim
Gender
Men
Set Contents
1
Wash Care
Machine Wash
Article Identifier Type
EAN CODE
Article Identification Value
8907822106120
Style Code
E-LAW KHN-2076S SLMFT MIDBL