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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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Paper Details:
Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue:
ACL |
Citations
URL
Utilizing Microblogs for Automatic News Highlights Extraction
Zhongyu Wei
|
Wei Gao
|
Generating Supplementary Travel Guides from Social Media
Liu Yang
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Jing Jiang
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Lifu Huang
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Minghui Qiu
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Lizi Liao
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AttSum: Joint Learning of Focusing and Summarization with Neural Attention
Ziqiang Cao
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Wenjie Li
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Sujian Li
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Furu Wei
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Yanran Li
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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
|
Fast Joint Compression and Summarization via Graph Cuts
Xian Qian
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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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Concept-based Summarization using Integer Linear Programming: From Concept Pruning to Multiple Optimal Solutions
Florian Boudin
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Hugo Mougard
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Benoit Favre
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Summarizing Lengthy Questions
Tatsuya Ishigaki
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Hiroya Takamura
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Manabu Okumura
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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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Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization
Chen Li
|
Yang Liu
|
Lin Zhao
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Improving Update Summarization via Supervised ILP and Sentence Reranking
Chen Li
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Yang Liu
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Lin Zhao
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Automatic Summarization of Student Course Feedback
Wencan Luo
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Fei Liu
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Zitao Liu
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Diane Litman
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Objective Function Learning to Match Human Judgements for Optimization-Based Summarization
Maxime Peyrard
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Iryna Gurevych
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BrailleSUM: A News Summarization System for the Blind and Visually Impaired People
Xiaojun Wan
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Yue Hu
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Unsupervised extractive summarization via coverage maximization with syntactic and semantic concepts
Natalie Schluter
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Anders Søgaard
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Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization
Maxime Peyrard
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Judith Eckle-Kohler
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Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback
Avinesh P.V.S
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Christian M. Meyer
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An Evolutionary Algorithm for Automatic Summarization
Aurélien Bossard
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Christophe Rodrigues
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Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study
Jianmin Zhang
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Jiwei Tan
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Xiaojun Wan
|
No URLs Found
Field Of Study
Task
Summarization
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