RaPID-4 Organizing committee:
  Kathleen C. Fraser, National Research Council, Canada;
  Dimitrios Kokkinakis, University of Gothenburg, Sweden;
  Kristina Lundholm Fors, Lund University, Sweden;
  Johan Skoog, University of Gothenburg, Sweden;
  Charalambos K. Themistocleous, Johns Hopkins University, USA;
  Athanasios Tsanas, The University of Edinburgh, UK
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Collocated shared task: for papers related to the Post-Stroke Speech Transcription, PSST Challenge: https://psst.study/
Paper submission: https://www.softconf.com/lrec2022/RaPID-4/
PSST Contacts: Steven Bedrick (bedricks@ohsu.edu) or Gerasimos Fergadiotis (gfergadiotis@pdx.edu)

PSST Organizing committee:
Steven Bedrick, Oregon Health and Science University, USA
Gerasimos Fergadiotis, Portland State University, USA
Robert Gale, Oregon Health and Science University, USA
Mikala Fleegle, Portland State University, USA
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RaPID-4 and the PSST ask for full papers, 4 to 8 pages, plus more pages for references if needed, which must strictly follow the LREC stylesheet: https://lrec2022.lrec-conf.org/en/submission2022/authors-kit/
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Description:
RaPID-4 aims to be an interdisciplinary forum for researchers to share information, findings, methods, models and experience on the collection and processing of data produced by people with various forms of mental, cognitive, neuropsychiatric, or neurodegenerative impairments, such as aphasia, dementia, autism, bipolar disorder, Parkinson's disease or schizophrenia.

Particularly, the workshop's focus is on creation, processing and application of data resources from individuals at various stages of these impairments and with varying degrees of severity. Creation of resources includes e.g. the annotation, description, analysis and interpretation of linguistic, paralinguistic and extra-linguistic aspects of such data (i.e. spontaneous spoken language, transcripts, eye tracking, wearable and sensor measurements, digital biomarkers, etc.). Processing of such data can be used to identify, extract, correlate, evaluate and disseminate various linguistic or multimodal phenotypes and measurements, which then can be applied to aid diagnosis, monitor the progression or predict individuals at risk.

A central aim is to facilitate the study of the relationships among various levels of linguistic, paralinguistic and extra-linguistic observations.
Submission of papers are invited in all of the aforementioned areas, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, natural language processing (NLP) and computer science. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research by bringing together researchers from various research communities.
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