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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)
Yellow Shoes Casual Men Footgear OX7BW Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Footgear Yellow Shoes Men Casual aENIG Cite as: Lilac Heusen Shirt Van C0ZdB3I
[cs.CL]
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for this version)

Submission history

From: Yen-Chun Chen [ White Peter Shirt England scbPwii
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Anti Skid Sole
Brand
Footgear
Product Code
FOOFOOTGEAR-MENBEAD22385DF8EDB1B
Color
Yellow
Size
UK 7
Material
Leather
Type
Lifestyle shoes
Sole Material
TPR
Toe Shape
Round