Sumithra Velupillai

TL;DR: An evaluation lab with an aim to support the continuum of care by developing methods and resources that make clinical reports in English easier to understand for patients, and which helps them in finding information related to their condition.

TL;DR: In this paper, the authors report on an evaluation lab with an aim to support the continuum of care by developing methods and resources that make clinical reports in English easier to understand for patients, and which helps them in finding information related to their condition.

TL;DR: This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languages other than English and identifies major challenges and opportunities that will affect the impact of NLP on clinical practice and public health studies in a context that encompasses English as well as other languages.

TL;DR: This study analysed posts from the social media platform Reddit and developed classifiers to recognise and classify posts related to mental illness according to 11 disorder themes, which could automatically recognise mental illness-related posts in the balenced dataset with an accuracy of 91.08% and select the correct theme with a weighted average accuracy of 71.37%.

TL;DR: A broad summary and outline of the challenging issues involved in defining appropriate intrinsic and extrinsic evaluation methods for NLP research that is to be used for clinical outcomes research is provided, and a particular focus is placed on mental health research.