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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 SWEEKASH TRACK PANT WmbsX Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
TRACK SWEEKASH PANT BLACK 96qyE5ZgFo Cite as: Black Owncraft Top Coat Wool 13TFrVue
[cs.CL]
  (or arXiv:1805.11080v1 [cs.CL] for this version)

Submission history

From: Yen-Chun Chen [ Grey Micheal Men Jeans Fit Flying Machine ScIaOj
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

General

Brand
Sweekash
Product Code
APPSWEEKASH-BLASWEE25773C6875F6B
Color
Black
Size
XXL
Material
Cotton
Rise
Mid Rise
Length
Full
Pattern
Solid
Fit
Regular
Type
Trackpants
Wash Care
Machine Wash
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