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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)
Fever s Stretchable Torn Men Jean Grey Fit Slim Denim 1yS0Wmm3eN 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

Look trendy and smart by wearing these jeans for men from Fever. Made from lycra cotton fabric;these jeans have slim-fit. You can team these jeans with a trendy shirt to look fashionable.
Brand
Fever
Product Code
APPFEVER-SLIM-FANY-128E21B666A
Color
Grey
Size
36
Material
Cotton
Rise
Mid Rise
Pattern
Solid
Fit
Slim
Gender
Men
Wash Care
Machine Wash