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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)
Van Fit Shirts Heusen Cotton White Slim Formal kR7fHpAE 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 [ Wenzel Formal Shoes pEtcWPzn2
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Add a touch of timeless elegance to your corporate look with this printed white shirt from Van Heusen. Spun from pure cotton;this full sleeve piece can be paired with black trousers and Oxfords to complete your ensemble.
Brand
Van Heusen
Product Code
APPVAN-HEUSEN-CADIT509965562CA5D
Color
White
Size
42
Material
Cotton
Occasion
Formal
Pattern
Solid
Sleeve
Full Sleeves
Neck Type
Classic Collar
Fit
Slim
Gender
Men
Collar Type
Classic Collar
Article Identifier Type
EAN CODE
Article Identification Value
8907566831357
Style Code
VHSF317M04770