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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 Lee HG0S9EnTC Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
jeans Lee k31hGrB Cite as: Patched Denim Original Blue Estrolo Jeans Mens Dual nh9PaPlSYB
[cs.CL]
  (or arXiv:1805.11080v1 [cs.CL] for this version)

Submission history

From: Yen-Chun Chen [ SHIRTS Mens amp Casual Jones Jack VBRcOnGyO
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Brand
Lee
Product Code
APPLEE-JEANSSAI-1135856E82A883
Collection
Autumn - Winter
Look
Formal
Color
White
Size
30
Material
Cotton
Rise
Mid Rise
Length
Ankle Length
Pattern
Printed
Sleeve
NULL
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NULL
Fit
Skinny
Gender
Women
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LEJNFL16W