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On the Effectiveness of using Sentence Compression Models for Query-Focused Multi-Document Summarization
Yllias Chali
|
Sadid A. Hasan
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Paper Details:
Month: December
Year: 2012
Location: Mumbai, India
Venue:
COLING |
Citations
URL
Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning
Cody Rioux
|
Sadid A. Hasan
|
Yllias Chali
|
Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees
Chen Li
|
Yang Liu
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Fei Liu
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Lin Zhao
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Fuliang Weng
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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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http://nlp.cs.nyu.edu/oak/
http://www.cis.upenn.edu/
http://cemantix.org/assert.html
http://duc.nist.gov/
http://lpsolve.sourceforge.net/5.5/
http://duc.nist.gov/pubs/2004papers/ida.conroy.ps
http://www-nlpir.nist.gov/projects/duc/duc2007/quality-questions.txt
http://www.nist.gov/tac/
http://nlp.nyu.edu/oak
Field Of Study
Linguistic Trends
Discourse
Task
Semantic Similarity
Question Answering
Summarization
Approach
User Evaluation
Language
English
Dataset
News
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