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Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization
Maxime Peyrard
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Judith Eckle-Kohler
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence
Maxime Peyrard
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Judith Eckle-Kohler
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Enumeration of Extractive Oracle Summaries
Tsutomu Hirao
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Masaaki Nishino
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Jun Suzuki
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Masaaki Nagata
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Summarizing Lengthy Questions
Tatsuya Ishigaki
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Hiroya Takamura
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Manabu Okumura
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Live Blog Corpus for Summarization
Avinesh P.V.S.
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Maxime Peyrard
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Christian M. Meyer
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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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An Evolutionary Algorithm for Automatic Summarization
Aurélien Bossard
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Christophe Rodrigues
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Towards the Use of Deep Reinforcement Learning with Global Policy for Query-based Extractive Summarisation
Diego Mollá-Aliod
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Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data
Mandeep Kaur
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Diego Mollá
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http://wiki.dbpedia.org/Downloads2015-04
https://github.com/miso-belica/sumy
http://www.cs.cornell.edu/rs/sfour/
Field Of Study
Linguistic Trends
Discourse
Task
Summarization
Approach
Structured Prediction
Dataset
News
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