3 accepted papers
Existing methods for analyzing linguistic content from picture descriptions for assessment of cognitive-linguistic impairment often overlook the participant’s visual narrative path, which typically requires eye tracking to assess. Spatio-semantic graphs are a useful tool for analyzing this narrative…
Recent applications of decorrelation methods to the multi-head attention layers and output embeddings of transformer-based models have resulted in improvements in efficiency and accuracy. Despite these advancements, there is a lack of research focused on the influence of decorrelation on transformer…
Training robust clinical speech-based models that generalize requires large sample sizes because speech is variable and high-dimensional. Researchers have turned to foundational models, such as the Bidirectional Encoder Representations from Transformers (BERT), to generate lower-dimensional embeddin…