27.1055, TOC: Language Resources and Evaluation 50/1 (2016)

The LINGUIST List via LINGUIST linguist at listserv.linguistlist.org
Mon Feb 29 18:08:34 UTC 2016


LINGUIST List: Vol-27-1055. Mon Feb 29 2016. ISSN: 1069 - 4875.

Subject: 27.1055, TOC: Language Resources and Evaluation 50/1 (2016)

Moderators: linguist at linguistlist.org (Damir Cavar, Malgorzata E. Cavar)
Reviews: reviews at linguistlist.org (Anthony Aristar, Helen Aristar-Dry, Sara Couture)
Homepage: http://linguistlist.org

*****************    LINGUIST List Support    *****************
                   25 years of LINGUIST List!
Please support the LL editors and operation with a donation at:
           http://funddrive.linguistlist.org/donate/

Editor for this issue: Andrew Lamont <alamont at linguistlist.org>
================================================================


Date: Mon, 29 Feb 2016 13:08:30
From: Helen van der Stelt [Helen.vanderStelt at springer.com]
Subject: Language Resources and Evaluation Vol. 50, No. 1 (2016)

 
Publisher:	Springer
			http://www.springer.com 
			
Journal Title:  Language Resources and Evaluation 
Volume Number:  50 
Issue Number:  1 
Issue Date:  2016 


Subtitle:  Computational Semantic Analysis of Language: SemEval-2014 and Beyond / Preslav Nakov, Torsten Zesch   


Main Text:  

Special Issue: Computational Semantic Analysis of Language: SemEval-2014 and
Beyond

Issue Editors: Preslav Nakov, Torsten Zesch

Computational semantic analysis of language: SemEval-2014 and beyond
Preslav Nakov, Torsten Zesch
pp 1-4

Cross level semantic similarity: an evaluation framework for universal
measures of similarity
David Jurgens, Mohammad Taher Pilehvar, Roberto Navigli
pp 5-33

Developing a successful SemEval task in sentiment analysis of Twitter and
other social media texts
Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad,
Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu
pp 35-65

The joint student response analysis and recognizing textual entailment
challenge: making sense of student responses in educational applications
Myroslava O. Dzikovska, Rodney D. Nielsen, Claudia Leacock
pp 67-93

SICK through the SemEval glasses. Lesson learned from the evaluation of
compositional distributional semantic models on full sentences through
semantic relatedness and textual entailment
Luisa Bentivogli, Raffaella Bernardi, Marco Marelli, Stefano Menini, Marco
Baroni, Roberto Zamparelli
pp 95-124

Robust semantic text similarity using LSA, machine learning, and linguistic
resources
Abhay Kashyap, Lushan Han, Roberto Yus, Jennifer Sleeman, Taneeya Satyapanich,
Sunil Gandhi, Tim Finin
pp 125-161
 



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



------------------------------------------------------------------------------

*****************    LINGUIST List Support    *****************
Please support the LL editors and operation with a donation at:
            http://funddrive.linguistlist.org/donate/
 


----------------------------------------------------------
LINGUIST List: Vol-27-1055	
----------------------------------------------------------







More information about the LINGUIST mailing list