The content discusses the challenges in predicting depression levels from social media texts, focusing on the PRIMATE dataset. It addresses concerns about annotation validity and false positives, advocating for improved methodologies. The study emphasizes the necessity of involving domain experts in the annotation process for better mental health assessments.
The paper evaluates various NLP models' performance using the PRIMATE dataset, highlighting discrepancies and areas of improvement. It also introduces a more fine-grained labeling scheme to reduce mislabeling risks and enhance transparency. The findings underscore the need for standardized approaches to mental health dataset annotations and collaboration between experts and practitioners.
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by Kiri... klokken arxiv.org 03-04-2024
https://arxiv.org/pdf/2403.00438.pdfDypere Spørsmål