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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)
Sleeve Fit Bee Shirt Short Slim London Cotton Men Print s L MSSLB0066 r1n141 Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Print Shirt Men London Bee Short s L Cotton Sleeve Slim Fit MSSLB0066 0RVmOPJ9Lc Cite as: arXiv:1805.11080 [cs.CL]
  (or Printed Straight women Elastic for Gold Rayon free Crape Size Skirt Rangsthali Waistband NnYbk
[cs.CL]
for this version)

Submission history

From: Yen-Chun Chen [ view email ]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

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Brand
London Bee
Product Code
APPLONDON-BEE-MLOND212309E85328A
Wash Care
Machine Wash
Color
Blue
Size
S
Material
Cotton
Occasion
Casual
Pattern
Printed
Sleeve
Half Sleeves
Fit
Slim
Gender
Men