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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)
New Tops Fashion Komal JeP4vYE1 Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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[cs.CL]
  (or arXiv:1805.11080v1 [cs.CL] for this version)

Submission history

From: Yen-Chun Chen [ Colorplus Red Away Cotton Half Dark Checkered Shirts Fit Cut Sleeve Slim ssrbJ
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Innovation And Uniqueness At Its Best, Komal Trading Presents Their Collection Of Tops, Shrug And Jackets With Great Comfort And Style. The Images Represent Actual Product Though Color Of The Image And Product May Slightly Differ.
Brand
Komal Trading
Product Code
APPKOMAL-NEW-FAKOMA212977C306EC41
Color
Black
Size
XL
Material
Cotton
Occasion
Formal
Pattern
Solid
Sleeve
Half Sleeves
Neck Type
Boat Neck
Gender
Women