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Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization
Maxime Peyrard
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Judith Eckle-Kohler
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
PyrEval: An Automated Method for Summary Content Analysis
Yanjun Gao
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Andrew Warner
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Rebecca Passonneau
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Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function
Shinsaku Sakaue
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Tsutomu Hirao
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Masaaki Nishino
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Masaaki Nagata
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Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study
Jianmin Zhang
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Jiwei Tan
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Xiaojun Wan
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https://doi.org/10.18653/v1/P17-1100
https://doi.org/10.18653/v1/P17-1100
http://tac.nist.gov/2009/
https://github.com/UKPLab/
http://wiki.dbpedia.org/
http://tac.nist.gov/2009/
https://github.com/miso-belica/sumy
Field Of Study
Task
Semantic Similarity
Information Retrieval
Summarization
Dataset
News
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