Recent advances in eXplainable AI (XAI) have provided new insights into how models for
vision, language, and tabular data operate. However, few approaches exist for …

Recent large-scale Spoken Language Understanding datasets focus predominantly on
English and do not account for language-specific phenomena such as particular phonemes …

Speech models may be affected by performance imbalance in different population
subgroups, raising concerns about fair treatment across these groups. Prior attempts to …

The evaluation of spoken language understanding (SLU) systems is often restricted to
assessing their global performance or examining predefined subgroups of interest …

As speech processing moves toward more data-hungry models, data selection and
acquisition become crucial to building better systems. Recent efforts have championed …

Abstract The use of Natural Language Processing techniques in the legal domain has
become established for supporting attorneys and domain experts in content retrieval and …

Deep learning techniques have been widely adopted to automate the reconstruction of
atmospheric parameters in exoplanets, at a fraction of the computational cost required by …

The automatic prediction of court case judgments using Deep Learning and Natural
Language Processing is challenged by the variety of norms and regulations, the inherent …

Deep learning has been shown to be a valuable tool in astrophysics. In the field of
exoplanetary science, deep learning-based approaches are being used extensively to …

Conducting a comprehensive literature review is a critical step in the research process, often
requiring significant time and effort to identify and evaluate relevant academic papers …