BibTeX

@misc{kokkinakis-2016-proceedings-252412,
	title        = {Proceedings of LREC 2016 Workshop: Resources and Processing of Linguistic and Extra-Linguistic Data from People with Various Forms of Cognitive/Psychiatric Impairments (RaPID-2016), Monday 23rd of May 2016. Linköping electronic conference proceedings.},
	abstract     = {The purpose of the Workshop on “Resources and ProcessIng of linguistic and extra-linguistic Data
from people with various forms of cognitive/psychiatric impairments” (RaPID-2016) was to provide
a snapshot view of some of the current technological landscape, resources, data samples and also
needs and challenges in the area of processing various data from individuals with various types of
mental and neurological health impairments and similar conditions at various stages; increase the
knowledge, understanding, awareness and ability to achieve useful outcomes in this area and
strengthen the collaboration between researchers and workers in the field of clinical/nursing/medical
sciences and those in the field of language technology/computational linguistics/Natural Language
Processing (NLP).
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 linguistic data (e.g., spontaneous story telling) and extra-linguistic and production
measures (e.g., eye tracking) could be used as a complement to clinical diagnosis and 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 NLP emphasizes the processing, analysis, and interpretation of
such data and current research in this field, based on linguistic-oriented analysis of text and speech
produced by such a population and 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 diachronic analysis of language samples or other extralinguistic
measurements. Initially, work was based on written data but there is a rapidly growing body
of research based on spoken samples and other modalities.
Nevertheless, there remains significant work to be done to arrive at more accurate estimates for
prediction 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.},
	author       = {Kokkinakis, Dimitrios},
	year         = {2016},
	publisher    = {Linköping University Electronic Press},
	address      = {Linköping},
	ISBN         = {978-91-7685-730-4},
}