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Ranking Human and Machine Summarization Systems
Peter Rankel
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John Conroy
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Eric Slud
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Dianne O’Leary
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Paper Details:
Month: July
Year: 2011
Location: Edinburgh, Scotland, UK.
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE
Yvette Graham
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Evaluating Multiple System Summary Lengths: A Case Study
Ori Shapira
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David Gabay
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Hadar Ronen
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Judit Bar-Ilan
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Yael Amsterdamer
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Ani Nenkova
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Ido Dagan
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Improving the Estimation of Word Importance for News Multi-Document Summarization
Kai Hong
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Ani Nenkova
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Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization
Markus Zopf
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Eneldo Loza Mencía
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Johannes Fürnkranz
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A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization
Kai Hong
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John Conroy
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Benoit Favre
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Alex Kulesza
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Hui Lin
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Ani Nenkova
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Revisiting Summarization Evaluation for Scientific Articles
Arman Cohan
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Nazli Goharian
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A Decade of Automatic Content Evaluation of News Summaries: Reassessing the State of the Art
Peter A. Rankel
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John M. Conroy
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Hoa Trang Dang
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Ani Nenkova
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An Assessment of the Accuracy of Automatic Evaluation in Summarization
Karolina Owczarzak
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John M. Conroy
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Hoa Trang Dang
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Ani Nenkova
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What’s in a p-value in NLP?
Anders Søgaard
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Anders Johannsen
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Barbara Plank
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Dirk Hovy
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Hector Martínez Alonso
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http://www.nist.gov/tac
Field Of Study
Task
Summarization
Machine Translation
Language
English
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