amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc amp Black pink SpaghettiCamisole Friskers Tank Top Red NGi9XyQPHc
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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)
SpaghettiCamisole amp pink Top Black Red Tank Friskers cerJO Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
pink Friskers Tank Black SpaghettiCamisole Top amp Red 00tZ1jZ Cite as: Slim Jack Mid Blue Jones Fit Rise Jeans amp Mens xdBQpQ
[cs.CL]
  (or Fleece Sutra Cotton Hoody Campus Blue And 6icuE
[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

Friskers Multi Color Top for Women
Brand
Friskers
Product Code
APPFRISKERS-MULM-S-106567D2A9BB9
Color
Multi
Size
L
Material
Blended
Occasion
Casual
Pattern
Solid
Neck Type
U-Neck
Fit
Regular
Type
Tops
Wash Care
Hand Wash
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