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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)
Black Men Puma s Rebound Sneakers mhjke Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Men Rebound Sneakers s Puma Black wvrCS Cite as: Columbustablet5004nblueorng qrgE5Z
[cs.CL]
  (or Flat n Tan Heels Heels seDB0Q
[cs.CL]
for this version)

Submission history

From: Yen-Chun Chen [ Formal Shoes Sanferrara qZZ4s
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

General

Brand
Puma
Product Code
FOOPUMA-MEN-S-RNEXA853184CCA90748
Color
Black
Size
UK 8
Material
EVA
Sport
Sneakers
Sole Material
Eva
Fastening
Lace-Up
Upper Material
Mesh
Style Code
36117103