RaPID 2016 - Resources and ProcessIng of linguistic and extra-linguistic Data

RaPID-2016 will be an interdisciplinary forum for researchers to share information, findings, and experience on the creation and processing of data acquired or produced by people with various forms of mental, cognitive, neuropsychiatric, or neurodegenerative impairments, such as aphasia, dementia, autism or schizophrenia.
The workshop will focus on research and the creation, annotation, description, modeling, processing, and analysis of linguistic and extra-linguistic data from individuals at various stages of these impairments and with varying degrees of severity. The data may be from various modalities and media, such as audio-recorded samples and transcripts of spontaneous spoken language; written content of social media posts; acoustic and phonological signals; eye tracking; keystroke logging; digital pen strokes etc. The workshop will facilitate the study of the relationships among the various levels of linguistic and extra-linguistic observations in order to identify, extract, process, correlate, evaluate, and disseminate various linguistic phenotypes and measurements and thus aid diagnosis, monitor progression, or predict individuals at risk.
TOPICS OF INTEREST
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Topics of interest include but are not limited to:...
? Building and adapting domain relevant linguistic resources, data, and tools, and making them available.
? Data collection methodologies.
? Acquisition of novel data samples, e.g. from digital pens (i.e., digital pen strokes) or keylogging and integrating them with data from various sources (i.e., information fusion).
? Guidelines, annotation schemas, and tools (e.g., for semantic annotation of data sets).
? Addressing the challenges of representation, including dealing with data sparsity and dimensionality issues, and feature combination from different sources and modalities,
? Adaptation of standard NLP tools to the domain.
? Syntactic, semantic, and pragmatic analysis of data, including modeling of perception (e.g., eye-movement measures of reading) and production processes (e.g., recording the writing process with digital pens, keystroke logging, etc.), use of gestures accompanying speech and non-linguistic behavior.
? Machine learning approaches for early diagnosis, prediction, monitoring, classification, etc. of various cognitive, psychological, and psychiatric impairments, including unsupervised methods (e.g., distributional semantics).
? Evaluation of tools, systems, components, metrics, applications, and technologies that make use of NLP in the domain.
? Evaluation, comparison, and critical assessment of resources.
? Evaluation of the significance of extracted features.
? Involvement of medical professionals and patients and ethical questions.
? Deployment of resources.
? Experiences, lessons learned, and the future of NLP in the area.
INVITED SPEAKER
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Dr Peter Garrard, St George's, University of London, UK
SUBMISSION DETAILS
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RaPID-2016 will be a half-day LREC workshop to be held in the afternoon of Monday 23 May 2016. The oral presentations will be kept short (10-15 minutes) followed by a common poster session for all presenters where authors will have the opportunity to discuss more thoroughly their contributions. Submitted papers must be formatted according to the camera-ready style for LREC 2016 (style guidelines for the camera-ready papers will be provided on LRECs main conference page), and submitted electronically in PDF format through START page, which will be available in the upcoming weeks. Authorship is not anonymous and papers should be 4-8 pages of content. Additional pages containing the list of references are allowed as long as these pages contain only references. All submissions will be reviewed by at least three members of the program committee. All authors of accepted papers will participate in the poster session. Papers that describe systems or tools are also invited to give a demo of their system during the poster session.
IMPORTANT DATES
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Submission deadline: February 15th, 2016
Notification of acceptance: March 6th, 2016
Camera-ready papers: March 29th, 2016
RaPID-2016 Workshop: May 23rd, 2016
RESOURCES (LRE MAP)
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Describing your language resources in the LRE Map is now a normal practice in the submission procedure of LREC (introduced in 2010 and adopted by other conferences). To continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools, web-services, etc.), authors will have the possibility, when submitting a paper, to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new “regular” feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data.
As scientific work requires accurate citations of referenced work so as to allow the community to understand the whole context and also replicate the experiments conducted by other researchers, LREC 2016 endorses the need to uniquely identify LRs through the use of the International Standard Language Resource Number (ISLRN, www.islrn.org), a persistent unique identifier to be assigned to each language resource. The assignment of ISLRNs to LRs cited in LREC papers will be offered at submission time.
ORGANIZING COMMITTEE
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Dimitrios Kokkinakis, University of Gothenburg, Sweden
Graeme Hirst, University of Toronto, Canada
Simon Dobnik, University of Gothenburg, Sweden
Arto Nordlund, Sahlgrenska Academy, University of Gothenburg, Sweden
Jens Edlund, KTH - Royal Institute of Technology, Sweden
Marcus Nyström, University of Lund, Sweden
Åsa Wengelin, University of Gothenburg, Sweden
Natalia Grabar, Université de Lille, France
PROGRAM COMMITTEE
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Jan Alexandersson, DFKI GmbH, Germany
Jonas Beskow, KTH - Royal Institute of Technology, Sweden
Heidi Christensen, University pf Sheffield, UK
Simon Dobnik, University of Gothenburg, Sweden
Jens Edlund, KTH - Royal Institute of Technology, Sweden
Peter Garrard, St George's, University of London, UK
Kallirroi Georgila, University of Southern California, USA
Natalia Grabar, Université de Lille, France
Nancy L. Green, University of North Carolina at Greensboro, USA
Phil Green, University of Sheffield, UK
Katarina Heimann Mühlenbock, University of Gothenburg, Sweden
Graeme Hirst, University of Toronto, Canada
Kristy Hollingshead, Florida Institute for Human & Machine Cognition (IHMC), USA
William Jarrold, SRI International, USA
Richard Johansson, University of Gothenburg, Sweden
Dimitrios Kokkinakis, University of Gothenburg, Sweden
Peter Ljunglöf, Chalmers University of Technology, Sweden
Karmele López-de-Ipiña, University of the Basque Country (UPV/EHU), Spain
Arto Nordlund, Sahlgrenska Academy, University of Gothenburg, Sweden
Marcus Nyström, University of Lund, Sweden
François Portet, Laboratoire d'informatique de Grenoble, France
Vassiliki Rentoumi, SKEL, NCSR Demokritos, Greece
Frank Rudzicz, University of Toronto, Canada
Paul Thompson, Dartmouth College, USA
Spyridoula Varlokosta, National and Kapodistrian University of Athens, Greece
Åsa Wengelin, University of Gothenburg, Sweden
Maria Wolters, University of Edinburgh, UK