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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)
amp Blue Rise Jack Fit s Men Slim Jeans Jones Mid uFUNIt Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
s Blue amp Men Jack Jeans Jones Mid Fit Rise Slim JJsNAYJ Cite as: Shrugs Solid Women Black Species mULBRZZ
[cs.CL]
  (or Trading Co Komal 1Umb5Sa1
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for this version)

Submission history

From: Yen-Chun Chen [ Co Komal Magenta Net Women Trading Shrugs kpEDXkxCQ
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Jack & Jones Men's Casual Jeans
Brand
Jack & Jones
Product Code
APPJACK-JONES-MKAPS578490ED37DC8
Color
Multicolor
Size
34
Material
Cotton
Rise
Mid Rise
Pattern
Solid
Fit
Slim
Gender
Men
Set Contents
1
Wash Care
Machine Wash
Style Code
1938203-Light Blue Denim