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Improving Summarization Performance by Sentence Compression — A Pilot Study
Chin-Yew Lin
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Paper Details:
Month: July
Year: 2003
Location: Sapporo, Japan
Venue:
WS |
Citations
URL
Probabilistic Sentence Reduction Using Support Vector Machines
Minh Le Nguyen
|
Akira Shimazu
|
Susumu Horiguchi
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Bao Tu Ho
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Masuru Fukushi
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Syntactic Simplification for Improving Content Selection in Multi-Document Summarization
Advaith Siddharthan
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Ani Nenkova
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Kathleen McKeown
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Sentence Compression Beyond Word Deletion
Trevor Cohn
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Mirella Lapata
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Query-focused Multi-Document Summarization: Combining a Topic Model with Graph-based Semi-supervised Learning
Yanran Li
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Sujian Li
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Learning to Summarise Related Sentences
Emmanouil Tzouridis
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Jamal Nasir
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Ulf Brefeld
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Title Generation with Quasi-Synchronous Grammar
Kristian Woodsend
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Yansong Feng
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Mirella Lapata
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Framework of Automatic Text Summarization Using Reinforcement Learning
Seonggi Ryang
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Takeshi Abekawa
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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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Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning
Cody Rioux
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Sadid A. Hasan
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Yllias Chali
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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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Extractive Summarization by Maximizing Semantic Volume
Dani Yogatama
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Fei Liu
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Noah A. Smith
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Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora
Jessica Ouyang
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Serina Chang
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Kathy McKeown
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Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization
Litton J Kurisinkel
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Yue Zhang
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Vasudeva Varma
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Discourse Constraints for Document Compression
James Clarke
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Mirella Lapata
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Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese
Miguel B. Almeida
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Mariana S. C. Almeida
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André F. T. Martins
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Helena Figueira
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Pedro Mendes
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Cláudia Pinto
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Automatic Generation of Story Highlights
Kristian Woodsend
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Mirella Lapata
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Jointly Learning to Extract and Compress
Taylor Berg-Kirkpatrick
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Dan Gillick
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Dan Klein
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Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning
Miguel Almeida
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André Martins
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A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization
Lu Wang
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Hema Raghavan
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Vittorio Castelli
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Radu Florian
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Claire Cardie
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Abstractive Multi-Document Summarization via Phrase Selection and Merging
Lidong Bing
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Piji Li
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Yi Liao
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Wai Lam
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Weiwei Guo
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Rebecca Passonneau
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Using Tweets to Help Sentence Compression for News Highlights Generation
Zhongyu Wei
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Yang Liu
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Chen Li
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Wei Gao
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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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Is Sentence Compression an NLG task?
Erwin Marsi
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Emiel Krahmer
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Iris Hendrickx
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Walter Daelemans
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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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Evaluating Sentence Compression: Pitfalls and Suggested Remedies
Courtney Napoles
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Benjamin Van Durme
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Chris Callison-Burch
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Supervised Learning of German Qualia Relations
Yannick Versley
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http://www.benton.org
http://duc.nist.gov
http://www-nlpir.nist.gov/projects/duc/pubs/
Field Of Study
Linguistic Trends
Discourse
Task
Information Extraction
Summarization
Machine Translation
Language
Japanese
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