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Title: GitHub - DeepLearningSky/pointer-generator: Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Open Graph Title: GitHub - DeepLearningSky/pointer-generator: Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

X Title: GitHub - DeepLearningSky/pointer-generator: Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Description: Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" - DeepLearningSky/pointer-generator

Open Graph Description: Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" - DeepLearningSky/pointer-generator

X Description: Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" - DeepLearningSky/pointer-generator

Opengraph URL: https://github.com/DeepLearningSky/pointer-generator

X: @github

direct link

Domain: github.com

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__init__.pyhttps://github.com/DeepLearningSky/pointer-generator/blob/master/__init__.py
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util.pyhttps://github.com/DeepLearningSky/pointer-generator/blob/master/util.py
READMEhttps://github.com/DeepLearningSky/pointer-generator
Licensehttps://github.com/DeepLearningSky/pointer-generator
Get To The Point: Summarization with Pointer-Generator Networkshttps://arxiv.org/abs/1704.04368
blog posthttp://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html
https://github.com/DeepLearningSky/pointer-generator#looking-for-test-set-output
herehttps://drive.google.com/file/d/0B7pQmm-OfDv7MEtMVU5sOHc5LTg/view?usp=sharing
https://github.com/DeepLearningSky/pointer-generator#looking-for-pretrained-model
Version for Tensorflow 1.0https://drive.google.com/file/d/0B7pQmm-OfDv7SHFadHR4RllfR1E/view?usp=sharing
Version for Tensorflow 1.2.1https://drive.google.com/file/d/0B7pQmm-OfDv7ZUhHZm9ZWEZidDg/view?usp=sharing
https://github.com/DeepLearningSky/pointer-generator#looking-for-cnn--daily-mail-data
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new seq2seq libraryhttps://www.tensorflow.org/api_guides/python/contrib.seq2seq#Attention
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