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Using maximum entropy for sentence extraction
Miles Osborne
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Paper Details:
Month: July
Year: 2002
Location: Phildadelphia, Pennsylvania, USA
Venue:
WS |
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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A Redundancy-Aware Sentence Regression Framework for Extractive Summarization
Pengjie Ren
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Furu Wei
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Zhumin Chen
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Jun Ma
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Ming Zhou
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Document Summarization via Guided Sentence Compression
Chen Li
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Fei Liu
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Fuliang Weng
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Yang Liu
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Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees
Chen Li
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Yang Liu
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Fei Liu
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Lin Zhao
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Fuliang Weng
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Scientific Article Summarization Using Citation-Context and Article’s Discourse Structure
Arman Cohan
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Nazli Goharian
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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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Using Supervised Bigram-based ILP for Extractive Summarization
Chen Li
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Xian Qian
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Yang Liu
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Learning Summary Prior Representation for Extractive Summarization
Ziqiang Cao
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Furu Wei
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Sujian Li
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Wenjie Li
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Ming Zhou
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Houfeng Wang
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A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization
Jiwei Li
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Sujian Li
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A Comparison of Algorithms for Maximum Entropy Parameter Estimation
Robert Malouf
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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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Summarization with a Joint Model for Sentence Extraction and Compression
André Martins
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Noah A. Smith
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AllSummarizer system at MultiLing 2015: Multilingual single and multi-document summarization
Abdelkrime Aries
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Djamel Eddine Zegour
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Khaled Walid Hidouci
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No URLs Found
Field Of Study
Task
Summarization
Language
English
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