33.79, Calls: Clinical Linguistics, Cognitive Science, Computational Linguistics/France

[The LINGUIST List]

LINGUIST List: Vol-33-79. Wed Jan 12 2022. ISSN: 1069 - 4875.

Subject: 33.79, Calls: Clinical Linguistics, Cognitive Science, Computational Linguistics/France

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Date: Wed, 12 Jan 2022 13:22:50
From: Dimitrios Kokkinakis [dimitrios.kokkinakis at gu.se]
Subject: Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments

 
Full Title: Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments 
Short Title: RaPID4 at LREC-2022 

Date: 25-Jun-2022 - 25-Jun-2022
Location: Marseille, France 
Contact Person: Dimitrios Kokkinakis
Meeting Email: dimitrios.kokkinakis at gu.se
Web Site: https://spraakbanken.gu.se/en/rapid-2022 

Linguistic Field(s): Clinical Linguistics; Cognitive Science; Computational Linguistics 

Call Deadline: 08-Apr-2022 

Meeting Description:

There is a growing interest among healthcare professionals and clinicians to
apply non-invasive, time and cost-effective, easy-to-measure techniques as a
complement to the battery of medical and clinical examinations currently
undertaken for the early diagnosis or monitoring of brain and mental
disorders.

Although many of the causes of cognitive and neuropsychiatric impairments are
difficult to foresee and accurately predict, physicians and clinicians work
with a wide range of factors that potentially contribute to such impairments,
e.g., traumatic brain injuries, genetic predispositions, side effects of
medication, and congenital anomalies. In this context, there is new evidence
that the acquisition and processing of human language data (e.g., spontaneous
story telling) and extra-linguistic and production measures (e.g., from eye
tracking, wearable devices or sensors) could be used as a complement to the
clinical diagnosis and also provide the foundation for future development of
objective criteria to be used for identifying progressive decline or
degeneration of normal mental and brain functioning.

An important new area of research in computational linguistics and Natural
Language Processing (NLP) emphasizes the processing, analysis, and
interpretation of such data. Current research in this field, based on
linguistic-oriented analysis of text and speech produced by such a population,
compared to healthy adults, has shown promising outcomes. This is manifested
in early diagnosis and prediction of individuals at risk, the differentiation
of individuals with various degrees of severity forms of brain and mental
illness, and for the monitoring of the progression of such conditions through
the longitudinal analysis of language samples or other para and
extra-linguistic measurements from various modalities.

Nevertheless, there remains significant work to be done to arrive at more
accurate estimates for prediction and classification purposes in the future
and more research is required in order to reliably complement the battery of
medical and clinical examinations currently undertaken for the early diagnosis
or monitoring of, e.g., neurodegenerative and other brain and mental disorders
and accordingly, aid the development of new, non-invasive, time and
cost-effective and objective (future) clinical tests in neurology, psychology,
and psychiatry.


Call for Papers:

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 (e.g.,
acoustic measures; phonological, syntactic and semantic features; eye
tracking, sensors, signs and multimodal signals). 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.

For submission details, visit:
https://spraakbanken.gu.se/en/rapid-2022/submission-details




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