Abstract
Digital Linguistic Biomarkers extracted from spontaneous language productions proved to be very useful for the early detection of various mental disorders. This paper presents a computational pipeline for the automatic processing of oral and written texts: the tool enables the computation of a rich set of linguistic features at the acoustic, rhythmic, lexical, and morphosyntactic levels. Several applications of the instrument - for the detection of Mild Cognitive Impairments, Anorexia Nervosa, and Developmental Language Disorders - are also briefly discussed.- Anthology ID:
- 2022.lrec-1.561
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 5234–5242
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.561
- DOI:
- Cite (ACL):
- Gloria Gagliardi and Fabio Tamburini. 2022. The Automatic Extraction of Linguistic Biomarkers as a Viable Solution for the Early Diagnosis of Mental Disorders. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 5234–5242, Marseille, France. European Language Resources Association.
- Cite (Informal):
- The Automatic Extraction of Linguistic Biomarkers as a Viable Solution for the Early Diagnosis of Mental Disorders (Gagliardi & Tamburini, LREC 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.lrec-1.561.pdf