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References & Citations

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)
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Loire Lace Round Heels Shoes Black Marc up Women Heels Toe Solid s 15WwUzBVh Cite as:
[cs.CL]
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for this version)

Submission history

From: Yen-Chun Chen [ view email ]
[v1] Mon, 28 May 2018 17:49:10 GMT (552kb,D)

Description

Walk your way with these laceup comfort shoes which looks stunning with your jeans/shorts/skirts;ideal for casual wear
Brand
Marc Loire
Product Code
FOOMARC-LOIRE-WMARC2370694ADCF0F
Color
Black
Size
EURO 37
Sole Material
PU
Upper Material
Leather
Set Contents
1 Pair
Style Code
ML001267