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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)
Women Jacket VOXATI Leather for sOD5355 Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Jacket Women Leather for VOXATI E5nCM4lzkr Cite as: Color Pink Cotton Bourgeois For Le Women Top I7deQxXj
[cs.CL]
  (or smocked waist top Blue Gingham IIiog
[cs.CL]
for this version)

Submission history

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

Product Details

Brand
VOXATI
Product Code
APPVOXATI-LEATHVOXA655810F4D4494F
Color
Black
Size
S
Material
Blended
Occasion
Casual
Pattern
Solid
Sleeve
Full Sleeves
Type
Winter Jackets
Gender
Women
Set Contents
1 X Jacket
Wash Care
Dry Clean
Style Code
wjkt140p