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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)
Printed MOS Women Length Graphic Ankle Leggings SD4PSUvn Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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Submission history

From: Yen-Chun Chen [ Men Fit Shirt Avenue Park Slim Blue Cotton PZies6bC
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

MOS Women Graphic Printed Ankle Length Leggings Color:Multi Category: Size:XL Bottom/Skirts:37.1X27.2Inch Material:Blended Wash Care:Gentle Wash Disclaimer:Product color may slightly vary due to photographic lighting sources or your monitor settings
Brand
Ministry of Style
Product Code
APPMOS-WOMEN-GRMINI95383165D20C00
Color
Multi
Size
XL
Material
Blended
Length
Ankle
Pattern
Printed
Set Contents
1
International Product
World Store