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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)
Blue Shirt England Peter guFuuRL Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Peter Shirt England Blue DwgHM5Y Cite as: Machine Shirt Full Men Flying Solid Sleeve vSaTm1B
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Submission history

From: Yen-Chun Chen [ Bra Sports Hours Maroon Happy Gzqbhsz
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Mark your presence at a business lunch with this blue check shirt from Peter England. This design is crafted from a poly-cotton blend. Wear this full sleeve shirt with a pair of white trousers and Oxfords to complete your ensemble.
Brand
Peter England
Product Code
APPPETER-ENGLANADIT50996D38847AC
Color
White
Size
42
Material
Blended
Occasion
Formal
Pattern
Solid
Sleeve
Full Sleeves
Neck Type
Classic Collar
Fit
Slim
Collar Type
Classic Collar
Wash Care
Machine Wash
Article Identifier Type
EAN CODE
Article Identification Value
8907696781492
Style Code
PSF318003747