LINGUIST List 25.207|
Mon Jan 13 2014
Calls: Computational Ling, Cognitive Sci, Language Acquisition, Psycholing/Sweden
Editor for this issue: Anna White
From: Aline Villavicencio <avillavicencioinf.ufrgs.br>
Subject: EACL 2014 Workshop on Cognitive Aspects of Computational Language Learning
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Full Title: EACL 2014 Workshop on Cognitive Aspects of Computational Language Learning
Short Title: Cognitive-2014
Date: 26-Apr-2014 - 26-Apr-2014
Location: Gothenburg, Sweden
Contact Person: Aline Villavicencio
Meeting Email: < click here to access email >
Web Site: https://sites.google.com/site/cognitivews2014/
Linguistic Field(s): Cognitive Science; Computational Linguistics; Language Acquisition; Linguistic Theories; Psycholinguistics
Call Deadline: 23-Jan-2014
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.
Final Call for Papers:
EACL 2014 Workshop on
Cognitive Aspects of Computational Language Learning
April 26, 2014
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 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, and demonstrations 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
- 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
All submissions must be in PDF format and must follow the EACL 2014 formatting requirements (available at http://www.eacl2014.org/files/eacl-2014-styles.zip).
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.
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.
Workshop Organizers and Contact:
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 cognitive2014gmail.com.
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