Users suffering from mental health conditions often turn to online resources for support, including specialized online support communities or general communities such as Twitter …
We propose a novel methodology to generate domain-specific large-scale question answering (QA) datasets by re-purposing existing annotations for other NLP tasks. We …
Mental health is a significant and growing public health concern. As language usage can be leveraged to obtain crucial insights into mental health conditions, there is a need for large …
Great research interests have been attracted to devise AI services that are able to provide mental health support. However, the lack of corpora is a main obstacle to this research …
I Sekulić, M Strube - arXiv preprint arXiv:2003.07634, 2020 - arxiv.org
Mental health poses a significant challenge for an individual's well-being. Text analysis of rich resources, like social media, can contribute to deeper understanding of illnesses and …
Data quality is crucial for training accurate, unbiased, and trustworthy machine learning models as well as for their correct evaluation. Recent works, however, have shown that even …
Abstract The Human Phenotype Ontology (HPO) is a dictionary of> 15,000 clinical phenotypic terms with defined semantic relationships, developed to standardize phenotypic …
A Zirikly, M Dredze - Proceedings of the Eighth Workshop on …, 2022 - aclanthology.org
Abstract Models of mental health based on natural language processing can uncover latent signals of mental health from language. Models that indicate whether an individual is …
T Schopf, K Arabi, F Matthes - arXiv preprint arXiv:2307.10652, 2023 - arxiv.org
As an efficient approach to understand, generate, and process natural language texts, research in natural language processing (NLP) has exhibited a rapid spread and wide …