Call Deadline: 28-Jun-2015
EMNLP 2015 Workshop on Cognitive Aspects of Computational Language Learning (CogACLL)
September 17-18, 2015 — Lisbon, Portugal
Deadline for Long and Short Paper Submissions: June 28, 2015 (11:59pm GMT -12)
Deadline for System Demonstrations: July 12, 2015 (11:59pm GMT -12)
The best papers will be invited for submission to a special issue of Journal on Computational Cognitive Science.
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 crosslinguistic studies shedding light on the influence of the language and the environment.
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.
Workshop Organizers and Contact:
Robert Berwick, Massachusetts Institute of Technology (USA)
Anna Korhonen (University of Cambridge, UK)
Alessandro Lenci (University of Pisa, Italy)
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
Call for Papers:
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 processes
— 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)
— Regular short papers (4 content pages + 1 page for references)
— System demonstration (2 pages)
All submissions must be in PDF format and must follow the EMNLP 2015 formatting requirements.
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: June 28, 2015 (11:59pm GMT -12 hours)
Please choose the appropriate submission type from the START submission page, according to the category of your paper.
June 28, 2015: Long and Short Paper Submission Deadline
July 12, 2015: System Demonstrations Submission Deadline
July 21, 2015: Notification of Acceptance
Aug 11, 2015: Camera-Ready Deadline
Sep 17-18, 2015: Workshop