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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)
Slim Heusen Cream Shirts Van Formal Blended Kx1w3GjH Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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[cs.CL]
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for this version)

Submission history

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

Description

Amp up your formal look in this solid cream shirt by Van Heusen. Tailored in a slim fit from a poly-cotton blend;this shirt is a wardrobe staple. Team the full sleeve piece with navy trousers and Derby shoes for an added charm.
Brand
Van Heusen
Product Code
APPVAN-HEUSEN-BADIT50996E11ECFAC
Collection
Van Heusen
Color
White
Size
42
Material
Blended
Occasion
Formal
Pattern
Solid
Sleeve
Full Sleeves
Neck Type
Classic Collar
Fit
Slim
Gender
Men
Collar Type
Classic Collar
Set Contents
1
Article Identifier Type
Ean Code
Article Identification Value
8907566226795
Style Code
VHSF1M76820