[Elsnet-list] Final CFP: EACL 2014 Workshop on Cognitive Aspects of Computational Language Learning

Thierry Poibeau thierry.poibeau at ens.fr
Thu Jan 9 17:54:10 CET 2014

[Apologies for cross-postings]

               Final Call for Papers
            EACL 2014 Workshop on
Cognitive Aspects of Computational Language Learning

                April 26, 2014
              Gothenburg, Sweden


Deadline for Paper Submissions: January, 23rd, 2014 (11:59pm GMT -12)
Endorsed by the Special Interest Group of the ACL on Natural Language Learning (SIGNLL)

The human ability to acquire and process language has long attracted interest and 
generated much debate due to the apparent ease with which such a complex and 
dynamic system is learnt and used on the face of ambiguity, noise and uncertainty. 
This subject raises many questions ranging from the nature vs. nurture debate of 
how much needs to be innate and how much needs to be learned for acquisition to 
be successful, to the mechanisms involved in this process (general vs specific) and 
their representations in the human brain. There are also developmental issues related 
to the different stages consistently found during acquisition (e.g. one word vs. two 
words) and possible organizations of this knowledge. These have been discussed in 
the context of first and second language acquisition and bilingualism, with cross linguistic 
studies shedding light on the influence of the language and the environment.

The past decades have seen a massive expansion in the application of statistical and 
machine learning methods to natural language processing (NLP). This work has yielded 
impressive results in numerous speech and language processing tasks, including e.g. 
speech recognition, morphological analysis, parsing, lexical acquisition, semantic 
interpretation, and dialogue management. The good results have generally been viewed 
as engineering achievements. Recently researchers have begun to investigate the relevance 
of computational learning methods for research on human language acquisition and change.
The use of computational modeling is a relatively recent trend boosted by advances in 
machine learning techniques, and the availability of resources like corpora of child and 
child-directed sentences, and data from psycholinguistic tasks by normal and pathological 
groups. Many of the existing computational models attempt to study language tasks under 
cognitively plausible criteria (such as memory and processing limitations that humans face), 
and to explain the developmental stages observed in the acquisition and evolution of the 
language abilities. In doing so, computational modeling provides insight into the plausible 
mechanisms involved in human language processes, and inspires the development of better 
language models and techniques. These investigations are very important since if 
computational techniques can be used to improve our understanding of human language 
acquisition and change, these will not only benefit cognitive sciences in general but will reflect 
back to NLP and place us in a better position to develop useful language models.

Success in this type of research requires close collaboration between the NLP, linguistics, 
psychology and cognitive science communities. The workshop is targeted at anyone
interested in the relevance of computational techniques for understanding first, second and 
bilingual language acquisition and language change in normal and clinical conditions. Long 
and short papers are invited on, but not limited to, the following topics:

*Computational learning theory and analysis of language learning and organization
*Computational models of first, second and bilingual language acquisition
*Computational models of language changes in clinical conditions
*Computational models and analysis of factors that influence language acquisition and 
use in different age groups and cultures
*Computational models of various aspects of language and their interaction effect in acquisition, 
processing and change
*Computational models of the evolution of language
*Data resources and tools for investigating computational models of human language processes
*Empirical and theoretical comparisons of the learning environment and its impact on language 
*Cognitively oriented Bayesian models of language processes
*Computational methods for acquiring various linguistic information (related to e.g. speech, 
morphology, lexicon, syntax, semantics, and discourse) and their relevance to research on human 
language acquisition
*Investigations and comparisons of supervised, unsupervised and weakly-supervised methods for 
learning (e.g. machine learning, statistical, symbolic, biologically-inspired, active learning, various 
hybrid models) from a cognitive perspective


We invite three different submission modalities:

* Regular long papers (8 content pages + 1 page for references):
  Long papers should report on original, solid and finished research
  including new experimental results, resources and/or techniques.

* Regular short papers (4 content pages + 1 page for references):
  Short papers should report on small experiments, focused contributions,
  ongoing research, negative results and/or philosophical discussion.

* System demonstration (2 pages): System demonstration papers should
  describe and document the demonstrated system or resources. We
  encourage the demonstration of both early research prototypes and
  mature systems, that will be presented in a separate demo session.

All submissions must be in PDF format and must follow the EACL
2014 formatting requirements (available at
We strongly advise the use of the provided Word or LaTeX template
files. For long and short papers, the reported research should
be substantially original. The papers will be presented orally or as
posters. The decision as to which paper will be presented orally
and which as poster will be made by the program committee based
on the nature rather than on the quality of the work.

Reviewing will be double-blind, and thus no author information
should be included in the papers; self-reference should be
avoided as well. Papers that do not conform to these requirements
will be rejected without review. Accepted papers will appear in the
workshop proceedings, where no distinction will be made between
papers presented orally or as posters.

Submission and reviewing will be electronic, managed by the START system:


Submissions must be uploaded onto the START system by the submission deadline:

 January 23rd, 2014 (11:59pm GMT -12 hours)

Please choose the appropriate submission type from the START
submission page, according to the category of your paper.


Jan 23, 2014    Long and Short Paper submission deadline
Feb 05, 2014    System Demonstrations submission deadline
Feb 20, 2014    Notification of acceptance
Mar 03, 2014    Camera-ready deadline
Apr 26,  2014    Workshop


Afra Alishahi         	Tilburg University (Netherlands)
Colin J Bannard         	University of Texas at Austin (USA)
Marco Baroni         	University of Trento (Italy)
Robert Berwick         	Massachusetts Institute of Technology (USA)
Philippe Blache        	LPL, CNRS (France)    
Jim Blevins            	University of Cambridge (UK)
Antal van den Bosch    Radboud University Nijmegen (Netherlands)
Chris Brew            	Nuance Communications (USA)
Ted Briscoe         		University of Cambridge (UK)
Alexander Clark         	Royal Holloway, University of London (UK)
Robin Clark         		University of Pennsylvania (USA)
Stephen Clark         	University of Cambridge (UK)
Matthew W. Crocker   Saarland University (Germany)
Walter Daelemans     University of Antwerp (Belgium)
Dan Dediu            		Max Planck Institute for Psycholinguistics (The Netherlands)
Barry Devereux         	University of Cambridge (UK)
Benjamin Fagard        Lattice-CNRS (France)
Jeroen Geertzen         University of Cambridge (UK)
Ted Gibson         		Massachusetts Institute of Technology (USA)
Henriette Hendriks     University of Cambridge (UK)
Marco Idiart         		Federal University of Rio Grande do Sul (Brazil)
Mark Johnson         	Brown University (USA)
Aravind Joshi         	University of Pennsylvania (USA)
Gianluca Lebani        	University of Pisa (Italy)
Igor Malioutov         	Massachusetts Institute of Technology (USA)
Marie-Catherine de Marneffe    The Ohio State University (USA)
Maria Alice Parente    Federal University of ABC (Brazil)
Massimo Poesio         University of Trento (Italy)
Brechtje Post         	University of Cambridge (UK)
Ari Rappoport         	The Hebrew University of Jerusalem (Israel)
Anne Reboul        	L2C2-CNRS (France)
Kenji Sagae         		University of Southern California (USA)
Sabine Schulte im Walde     University of Stuttgart (Germany)
Ekaterina Shutova        University of California, Berkeley (USA)
Maity Siqueira         	Federal University of Rio Grande do Sul (Brazil)
Mark Steedman         	University of Edinburgh (UK)
Suzanne Stevenson   University of Toronto (Canada)
Remi van Trijp        	Sony Computer Science Laboratory Paris (France)
Shuly Wintner         	University of Haifa (Israel)
Charles Yang         	University of Pennsylvania (USA)
Beracah Yankama    	Massachusetts Institute of Technology (USA)
Menno van Zaanen    Tilburg University (Netherlands)
Alessandra Zarcone   University of Stuttgart (Germany)


Alessandro Lenci (University of Pisa, Italy)
Muntsa Padró (Federal University of Rio Grande do Sul, Brazil)
Thierry Poibeau (LATTICE-CNRS, France)
Aline Villavicencio (Federal University of Rio Grande do Sul, Brazil)

For any inquiries regarding the workshop please send an email
to cognitive2014 at gmail.com
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