Sentence processing

Results: 313



#Item
251Natural language processing / Media bias / N-gram / Sentence / Subject / Semantics / Cross-validation / Syntax / Syntactic Structures / Linguistics / Grammar / Computational linguistics

Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, and Philip Resnik. Political Ideology Detection Using Recursive Neural Networks. Association for Computational Linguistics, 2014. @inproceedings{Iyyer:Enns:Boyd-Graber:Resnik-

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Source URL: www.umiacs.umd.edu

Language: English - Date: 2014-07-09 22:19:37
252Statistics / Automatic summarization / Expectation–maximization algorithm / Finitary relation / Multi-document summarization / Sentence extraction / ROUGE / Mode / Decision making / Natural language processing / Computational linguistics / Science

Focused Meeting Summarization via Unsupervised Relation Extraction

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Source URL: www.cs.cornell.edu

Language: English - Date: 2013-11-07 08:31:50
253Natural language processing / Computational linguistics / Information retrieval / Speech recognition / Automatic summarization / Data mining / Multi-document summarization / N-gram / Language model / Science / Information science / Linguistics

A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization

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Source URL: www.cs.cornell.edu

Language: English - Date: 2013-11-06 09:56:33
254Linguistics / Automatic summarization / Constrained conditional model / Multi-document summarization / ROUGE / Sentence extraction / N-gram / Structured SVM / Linear programming / Natural language processing / Science / Computational linguistics

Jointly Learning to Extract and Compress Taylor Berg-Kirkpatrick Dan Gillick Dan Klein Computer Science Division University of California at Berkeley

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2011-09-19 22:37:07
255Thinking Maps / Phrase / Sentence / Natural language processing / Computational linguistics / Linguistics / Education / Education theory

EIGHTH GRADE Can Do Name Chart--WRITING Adapted from WIDA Consortium Can Do Descriptors by Dearborn Public Schools ELL Department Level 1 Entering

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Source URL: www.michigan.gov

Language: English - Date: 2014-01-31 11:45:32
256Thinking Maps / Phrase / Sentence / Natural language processing / Computational linguistics / Linguistics / Education / Education theory

SIXTH GRADE Can Do Name Chart--WRITING Adapted from WIDA Consortium Can Do Descriptors by Dearborn Public Schools ELL Department Level 1 Entering

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Source URL: www.michigan.gov

Language: English - Date: 2014-01-31 11:32:48
257Computational linguistics / Linguistics / Information retrieval / Narratology / Automatic summarization / Data mining / Sentence extraction / Multi-document summarization / Naive Bayes classifier / Science / Information science / Natural language processing

A Survey on Automatic Text Summarization Dipanjan Das Andr´e F.T. Martins Language Technologies Institute

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Source URL: www.cs.cmu.edu

Language: English - Date: 2007-12-20 14:08:47
258Linguistics / Automatic summarization / Sentiment analysis / Multi-document summarization / ROUGE / Sentence extraction / Rating / Data mining / Natural language processing / Science / Computational linguistics

Sentiment Summarization: Evaluating and Learning User Preferences Kevin Lerman Columbia University New York, NY Sasha Blair-Goldensohn

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Source URL: ryanmcd.com

Language: English - Date: 2009-04-26 22:14:19
259Linguistics / Information retrieval / Speech recognition / Automatic summarization / Data mining / Multi-document summarization / Sentence extraction / ROUGE / N-gram / Natural language processing / Science / Computational linguistics

Exploring Content Models for Multi-Document Summarization Aria Haghighi UC Berkeley, CS Division [removed] Abstract

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Source URL: aria42.com

Language: English - Date: 2010-09-22 03:19:08
260Computational linguistics / Automatic summarization / Data mining / Information retrieval / Multi-document summarization / ROUGE / Sentence extraction / Sentence / Subject / Natural language processing / Linguistics / Science

A Scalable Global Model for Summarization 1 Dan Gillick1,2 , Benoit Favre2 Computer Science Division, University of California Berkeley, USA

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Source URL: www.dgillick.com

Language: English - Date: 2009-04-20 14:58:58
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