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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)
Low Actif Skinny Fit Mens Spykar Rise Jeans Black xId2GZmSh8 Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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Submission history

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

Description

Style up your next Sunday brunch, as you dress up in these trendy black coloured jeans from Spykar. Featuring one-of-a-kind washed effect, these jeans are high on style. Giving these jeans the perfect casual look is the stitched detailing on the round pockets. Team these jeans with casual shirt and moccasins for a flawlessly handsome look.
Brand
Spykar
Product Code
APPSPYKAR-MENS-SETU2010433EA85135
Color
Black
Size
36
Material
Cotton
Occasion
Casual
Rise
Low Rise
Fit
Skinny
Gender
Men
Hood
No
Set Contents
1
Wash Care
Machine Wash