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Domain Adaptation and Question-Answer Pooling for Aphasia Modelling

MCML Authors

Link to Profile Björn Schuller

Björn Schuller

Prof. Dr.

Principal Investigator

Health Informatics

Abstract

In this study, we examine the impact of domain adaptation and question-answer pooling on text-based aphasia prediction with standard and medically specialised BERT models for a German corpus. Modelling tasks comprise<br>aphasia type classification as well as multitask regression of communicative, semantic, and syntactic skills. We found that domain adaptation before finetuning as well as question-answer pooling increased performance for the standard but not for the specialised models on all classification and regression tasks.

inproceedings

ICNLSP 2025

8th International Conference on Natural Language and Speech Processing. Odense, Denmark, Aug 25-27, 2025.

Authors

U. Reichel • M. Gonzalez Machorro • L. Ehlen • P. Hecker • D. Peitz • C. Werner • F. Burkhardt • C. Kohlschein • F. Eyben • B. W. Schuller

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Research Area

 B3 | Multimodal Perception

BibTeXKey: RGE+25

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