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Sentence Ordering in Multidocument Summarization
Regina Barzilay
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Noemie Elhadad
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Kathleen R. McKeown
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Paper Details:
Year: 2001
Venue:
HLT |
Citations
URL
Exploring Text Links for Coherent Multi-Document Summarization
Xun Wang
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Masaaki Nishino
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Tsutomu Hirao
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Katsuhito Sudoh
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Masaaki Nagata
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Discourse Planning with an N-gram Model of Relations
Or Biran
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Kathleen McKeown
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Multidocument Summarization via Information Extraction
Michael White
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Tanya Korelsky
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Claire Cardie
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Vincent Ng
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David Pierce
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Kiri Wagstaff
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Sentence Ordering based on Cluster Adjacency in Multi-Document Summarization
Donghong Ji
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Yu Nie
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Introduction to the Special Issue on Summarization
Dragomir R. Radev
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Eduard Hovy
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Kathleen McKeown
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An Empirical Study of Corpus-Based Response Automation Methods for an E-mail-Based Help-Desk Domain
Yuval Marom
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Ingrid Zukerman
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Graph-based Neural Multi-Document Summarization
Michihiro Yasunaga
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Rui Zhang
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Kshitijh Meelu
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Ayush Pareek
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Krishnan Srinivasan
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Dragomir Radev
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Towards Coherent Multi-Document Summarization
Janara Christensen
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Mausam
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Stephen Soderland
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Oren Etzioni
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Empirically Estimating Order Constraints for Content Planning in Generation
Pablo A. Duboue
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Kathleen R. McKeown
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An Unsupervised Approach to Biography Production Using Wikipedia
Fadi Biadsy
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Julia Hirschberg
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Elena Filatova
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Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
Greg Durrett
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Taylor Berg-Kirkpatrick
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Dan Klein
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Selecting sentences for multidocument summaries using randomized local search
Michael White
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Claire Cardie
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Revisions that improve cohesion in multi-document summaries: a preliminary study
Jahna C. Otterbacher
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Dragomir R. Radev
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Airong Luo
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Combining Optimal Clustering and Hidden Markov Models for Extractive Summarization
Pascale Fung
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Grace Ngai
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Chi-Shun Cheung
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Representing and Visualizing Calendar Expressions in Texts
Delphine Battistelli
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Javier Couto
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Jean-Luc Minel
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Sylviane R. Schwer
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Using a Keyness Metric for Single and Multi Document Summarisation
Mahmoud El-Haj
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Paul Rayson
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No URLs Found
Field Of Study
Language
English
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