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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)
Top Women Wear Mayra s Party Stn18rKzw7 Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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for this version)

Submission history

From: Yen-Chun Chen [ Tops o6IOKl0Nj
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Trendy and appealing;this top from Mayra exclusive collection will surely impress fashionable women. This Top will surely add unique charm to your casual as well as party look. Made from quality fabric;this top will help you stay relaxed all day long.
Brand
Mayra
Product Code
APPMAYRA-WOMEN-GAUR30443E964A285
Color
Grey
Size
L
Material
Georgette
Occasion
Casual
Length
Regular
Pattern
Printed
Sleeve
3/4th Sleeves
Neck Type
Boat Neck
Type
Tops
Set Contents
1
Wash Care
Dry Clean
Style Code
1801T10399