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Correlation between ROUGE and Human Evaluation of Extractive Meeting Summaries
Feifan Liu
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Yang Liu
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Paper Details:
Month: June
Year: 2008
Location: Columbus, Ohio
Venue:
ACL |
Citations
URL
Learning to Model Domain-Specific Utterance Sequences for Extractive Summarization of Contact Center Dialogues
Ryuichiro Higashinaka
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Yasuhiro Minami
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Hitoshi Nishikawa
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Kohji Dohsaka
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Toyomi Meguro
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Satoshi Takahashi
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Genichiro Kikui
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CaseSummarizer: A System for Automated Summarization of Legal Texts
Seth Polsley
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Pooja Jhunjhunwala
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Ruihong Huang
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Harnessing Popularity in Social Media for Extractive Summarization of Online Conversations
Ryuji Kano
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Yasuhide Miura
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Motoki Taniguchi
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Yan-Ying Chen
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Francine Chen
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Tomoko Ohkuma
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The limits of automatic summarisation according to ROUGE
Natalie Schluter
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Estimating Summary Quality with Pairwise Preferences
Markus Zopf
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Automatic Labelling of Topic Models Learned from Twitter by Summarisation
Amparo Elizabeth Cano Basave
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Yulan He
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Ruifeng Xu
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Using the Amazon Mechanical Turk to Transcribe and Annotate Meeting Speech for Extractive Summarization
Matthew Marge
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Satanjeev Banerjee
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Alexander Rudnicky
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Textual Properties and Task-based Evaluation: Investigating the Role of Surface Properties, Structure and Content
Albert Gatt
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François Portet
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Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
Antoine Tixier
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Polykarpos Meladianos
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Michalis Vazirgiannis
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Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
An Yang
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Kai Liu
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Jing Liu
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Yajuan Lyu
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Sujian Li
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http://duc.nist.gov/
http://www.summarization.com/mead/
Field Of Study
Task
Summarization
Language
English
Dataset
News
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