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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)
Slim Fit Mens White Casual Spykar Shirts SKHUdz7xp5 Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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Submission history

From: Yen-Chun Chen [ Formal Shoes Black Fashion Men YY yoc3XJghF
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Spykar Mens White Slim Fit Casual Shirts
Brand
Spykar
Product Code
APPSPYKAR-MENS-SETU201043A0AA5541
Color
Grey
Size
L
Material
Cotton
Occasion
Casual
Pattern
Striped
Sleeve
Half Sleeves
Neck Type
Classic Collar
Fit
Slim
Gender
Men
Collar Type
Cutaway Collar
Collection
SS17
Hood
No
Set Contents
1
Wash Care
Machine Wash
Article Identifier Type
Ean Code
Article Identification Value
8901241642795
Style Code
MSH-01AG-ES-032