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Found 17 papers, 4 papers with code
Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts
We provide an overview of the CLPsych 2022 Shared Task, which focusses on the automatic identification of ‘Moments of Change’ in lon- gitudinal posts by individuals on social media and its connection with information regarding mental health .
Explaining Models of Mental Health via Clinically Grounded Auxiliary Tasks
In the case of mental health diagnosis, clinicians already rely on an assessment framework to make these decisions; that framework can help a model generate meaningful explanations. In this work we propose to use PHQ-9 categories as an auxiliary task to explaining a social media based model of depression.
A Whole-Person Function Dictionary for the Mobility, Self-Care and Domestic Life Domains: a Seedset Expansion Approach
Whole-person functional limitations in the areas of mobility, self-care and domestic life affect a majority of individuals with disabilities.
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
In dataset-transfer experiments on three social media datasets, we find that grounding the model in PHQ9's symptoms substantially improves its ability to generalize to out-of-distribution data compared to a standard BERT-based approach.
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
However, sparsity in representation decoding does not necessarily imply sparsity in the encoding of representations from the original data features.
Development of Natural Language Processing Tools to Support Determination of Federal Disability Benefits in the U.S.
The disability benefits programs administered by the US Social Security Administration (SSA) receive between 2 and 3 million new applications each year.
Classifying the reported ability in clinical mobility descriptions
Finally, we highlight several challenges in classifying performance assertions, including capturing information about sources of assistance, incorporating syntactic structure and negation scope, and handling new modalities at test time.
CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts
The shared task for the 2019 Workshop on Computational Linguistics and Clinical Psychology (CLPsych{'}19) introduced an assessment of suicide risk based on social media postings, using data from Reddit to identify users at no, low, moderate, or severe risk.
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses
Self-reported diagnosis statements have been widely employed in studying language related to mental health in social media.
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility
Functioning is gaining recognition as an important indicator of global health, but remains under-studied in medical natural language processing research.
Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings
We report on the creation of a dataset for studying assessment of suicide risk via online postings in Reddit.
The Power of Language Music: Arabic Lemmatization through Patterns
The interaction between roots and patterns in Arabic has intrigued lexicographers and morphologists for centuries.
The GW/LT3 VarDial 2016 Shared Task System for Dialects and Similar Languages Detection
This paper describes the GW/LT3 contribution to the 2016 VarDial shared task on the identification of similar languages (task 1) and Arabic dialects (task 2).
