26.3562, TOC: Natural Language Engineering 21/4 (2015)

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LINGUIST List: Vol-26-3562. Fri Aug 07 2015. ISSN: 1069 - 4875.

Subject: 26.3562, TOC: Natural Language Engineering 21/4 (2015)

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Date: Fri, 07 Aug 2015 14:34:32
From: Katie Laker [klaker at cambridge.org]
Subject: Natural Language Engineering Vol. 21, No. 4 (2015)

 
Publisher:	Cambridge University Press
			http://cambridge.org 
			
Journal Title:  Natural Language Engineering 
Volume Number:  21 
Issue Number:  4 
Issue Date:  2015 


Main Text:  

Articles

Authorship analysis of aliases: Does topic influence accuracy?
Robert Layton, Paul A. Watters, Richard Dazeley
Natural Language Engineering, Volume 21, Issue 04, August 2015, pp 497 - 518 
doi: 10.1017/S1351324913000272
Published Online on 8th October 2013 

Exploring the effectiveness of linguistic knowledge for biographical relation extraction
Marcos Garcia, Pablo Gamallo
Natural Language Engineering, Volume 21, Issue 04, August 2015, pp 519 - 551 
doi: 10.1017/S1351324913000314
Published Online on 18th October 2013 

(Un/Semi-)supervised SMS text message SPAM detection
Chris R. Giannella, Ransom Winder, Brandon Wilson
Natural Language Engineering, Volume 21, Issue 04, August 2015, pp 553 - 567 
doi: 10.1017/S1351324914000102
Published Online on 15th October 2014 

A tree-based learning approach for document structure analysis and its application to web search
F. Canan Pembe, Tunga Güngör
Natural Language Engineering, Volume 21, Issue 04, August 2015, pp 569 - 605 
doi: 10.1017/S1351324914000023
Published Online on 24th February 2014 

Construction and evaluation of event graphs
Goran Glavaš, Jan Šnajder
Natural Language Engineering, Volume 21, Issue 04, August 2015, pp 607 - 652 
doi: 10.1017/S1351324914000060
Published Online on 1st May 2014 

Industry Watch

NLP meets the cloud
Robert Dale 
Natural Language Engineering, Volume 21, Issue 04, August 2015, pp 653 - 659 
doi: 10.1017/S1351324915000200
Published Online on 22nd July 2015 



Linguistic Field(s): Computational Linguistics
                     Semantics
                     Syntax
                     Text/Corpus Linguistics

Subject Language(s): Portuguese (por)
                     Spanish (spa)



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