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The Potential and Limitations of Automatic Sentence Extraction for Summarization
Chin-Yew Lin
|
Eduard Hovy
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Paper Details:
Year: 2003
Venue:
WS |
Citations
URL
Enumeration of Extractive Oracle Summaries
Tsutomu Hirao
|
Masaaki Nishino
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Jun Suzuki
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Masaaki Nagata
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A Language Independent Algorithm for Single and Multiple Document Summarization
Rada Mihalcea
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Paul Tarau
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Using N-Grams To Understand the Nature of Summaries
Michele Banko
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Lucy Vanderwende
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Quantifying the Limits and Success of Extractive Summarization Systems Across Domains
Hakan Ceylan
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Rada Mihalcea
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Umut Özertem
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Elena Lloret
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Manuel Palomar
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Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization
Rada Mihalcea
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QARLA: A Framework for the Evaluation of Text Summarization Systems
Enrique Amigó
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Julio Gonzalo
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Anselmo Peñas
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Felisa Verdejo
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Can You Summarize This? Identifying Correlates of Input Difficulty for Multi-Document Summarization
Ani Nenkova
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Annie Louis
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Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain
Jackie Chi Kit Cheung
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Gerald Penn
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evision PDF of 'Improving Argument Overlap for Proposition-Based Summarisation
Yimai Fang
|
Simone Teufel
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Improving Summarization Performance by Sentence Compression — A Pilot Study
Chin-Yew Lin
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On the Subjectivity of Human Authored Summaries
BalaKrishna Kolluru
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Yoshihiko Gotoh
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http://duc.nist.gov
http://www-nlpir.nist.gov/projects/duc/pubs/
Field Of Study
Linguistic Trends
Discourse
Task
Summarization
Language
English
Dataset
News
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