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We gratefully acknowledge support from
the Simons Foundation
and member institutions
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)
Pantaloons Jeans by SF Womens Skirt CawJgFvs Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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Submission history

From: Yen-Chun Chen [ Trendy Women Green Button Pocket LL Coat Store Army YiHJPoy
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Black colored solid skirt;featuring above knee length and regular fit pattern. Made from cotton fabric for maximum comfort.
Brand
SF Jeans By Pantaloons
Product Code
APPSF-JEANS-BY-ADIT838961E5FE2E49
Color
Black
Size
30
Material
Cotton
Occasion
Casual
Length
Maxi
Pattern
Solid
Type
A-line
Gender
Women
Set Contents
1
Wash Care
Hand Wash
Style Code
880003029BLACK