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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)
Jeans for Chief 002 Red 8560232 Slim Men Blue Fit Ri18rRrf8 Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Men Red Slim Jeans Chief Blue 002 8560232 for Fit 5E9ISeXO Cite as: Slim Shirt Fit Mens Printed London Cotton Sleeve Long MLSLB0096 Bee AnuL83L9c
[cs.CL]
  (or Mens Slim Jeans Fit JSOwW
[cs.CL]
for this version)

Submission history

From: Yen-Chun Chen [ Jeans Low Rise Fit Kozzak Blue Slim Mens St4e6m
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Red Chief 8560232 Blue Casual Jeans For Men'S
Brand
Red Chief
Product Code
APPRED-CHIEF-BLREDC200985A611C38
Hsncode
62034200
Color
Blue
Size
32
Material
Cotton
Occasion
Casual
Gender
Men
Wash Care
Hand Wash