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We gratefully acknowledge support from
the Simons Foundation
and member institutions
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)
Woodland CAMEL Casual Men s Shoes J7Cphj Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Casual s Woodland CAMEL Men Shoes J2hcfui Cite as: arXiv:1805.11080 [cs.CL]
  (or Floaters Mens Hotmess Af4AlA4cZC
[cs.CL]
for this version)

Submission history

From: Yen-Chun Chen [ Slipper Mens Paragon Black yKanxb7F4P
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Woodland Men's CAMEL Casual Shoes
Brand
Woodland
Product Code
FOOWOODLAND-MENAERO212595E758663
Model Name
GC 1759115 CAMEL
Model Nuber
GC 1759115
Color
Copper
Size
UK 7
Sole Material
Rubber
Fastening
Lace-Up
Upper Material
Nubuck
Article Identifier Type
Ean Code
Article Identification Value
8907438243103
Disclaimer
Product color may slightly vary due to photographic lighting sources or your monitor settings
Occasion
Office