5 accepted papers
Understanding the communicative behaviors of non- and minimally-speaking individuals with autism spectrum disorder (ASD) and complex neurodevelopmental disorders (NDDs) remains a critical challenge for both clinical support and machine learning (ML) research. However, developing automated systems fo
The prevalence of toxic behavior in online gaming communities necessitates robust detection methods to ensure user safety. We introduce GameTox, a novel dataset comprising 53K game chat utterances annotated for toxicity detection through intent classification and slot filling. This dataset captures…
Nonverbal vocalizations serve an essential role in general communication and expression, and they are particularly integral for non- and minimally-speaking individuals with autism and other neurodevelopmental disorders. Accurate analysis and classification of these vocalizations are crucial for enha…
Nonverbal vocalizations are an essential component of human communication, conveying rich information without linguistic content. However, their computational analysis is hindered by a lack of lexical anchors in the data, compounded by biased and imbalanced data distributions. While disentangled rep
The complexity of text-embedded images presents a formidable challenge in machine learning given the need for multimodal understanding of multiple aspects of expression conveyed by them. While previous research in multimodal analysis has primarily focused on singular aspects such as hate speech and…