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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)
Casual Moda Women Vero Jacket Q9YVBcl4J6 Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Women Moda Casual Vero Jacket bj9WTXZ Cite as: arXiv:1805.11080 [cs.CL]
  (or Trading Komal Co 3Dtn7r
[cs.CL]
for this version)

Submission history

From: Yen-Chun Chen [ Women Collar Long Applique Wool Trendy Sleeve Turndown Coat qoA0r4K
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Vero Moda Women Casual Jacket
Brand
Vero Moda
Product Code
APPVERO-MODA-WOKAPS5784909B37E19
Color
Green
Size
XL
Material
Blended
Occasion
Casual
Length
Regular
Pattern
Solid
Sleeve
Full Sleeves
Type
Summer Jackets
Gender
Women
Set Contents
1
Wash Care
Dry Clean
Style Code
1957580 Green