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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)
Top Komal Black Cotton Trading Poly 6T5MAb Subjects: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Cotton Trading Black Top Komal Poly 2nbJ04xCwY Cite as: arXiv:1805.11080 [cs.CL]
  (or Allen Beige Shirt Solly ezq2hX
[cs.CL]
for this version)

Submission history

From: Yen-Chun Chen [ Womens maternity Shrug cum Mine4nine Red Cardigan 02XiQImJK
]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Brand
Komal Trading
Product Code
APPKOMAL-TRADINKOMA212977ECB66ABD
Disclaimer
Product color may slightly vary due to photographic lighting sources or your monitor settings
Color
Black
Size
L
Material
Cotton
Occasion
Formal
Pattern
Solid
Sleeve
3/4th Sleeves
Neck Type
Boat Neck
Gender
Women