Search Results for author: Ayah Zirikly

Found 17 papers, 4 papers with code

Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts

no code implementations NAACL (CLPsych) 2022 Adam Tsakalidis, Jenny Chim, Iman Munire Bilal, Ayah Zirikly, Dana Atzil-Slonim, Federico Nanni, Philip Resnik, Manas Gaur, Kaushik Roy, Becky Inkster, Jeff Leintz, Maria Liakata

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

no code implementations NAACL (CLPsych) 2022 Ayah Zirikly, Mark Dredze

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.

Multi-Task Learning

Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires

1 code implementation ACL 2022 Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan

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.

Depression Detection Domain Generalization

Classifying the reported ability in clinical mobility descriptions

no code implementations WS 2019 Denis Newman-Griffis, Ayah Zirikly, Guy Divita, Bart Desmet

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.

Natural Language Inference

CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts

no code implementations WS 2019 Ayah Zirikly, Philip Resnik, {\"O}zlem Uzuner, Kristy Hollingshead

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.

Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility

1 code implementation WS 2018 Denis Newman-Griffis, Ayah Zirikly

Functioning is gaining recognition as an important indicator of global health, but remains under-studied in medical natural language processing research.

Domain Adaptation Medical Named Entity Recognition +3

The Power of Language Music: Arabic Lemmatization through Patterns

no code implementations WS 2016 Mohammed Attia, Ayah Zirikly, Mona Diab

The interaction between roots and patterns in Arabic has intrigued lexicographers and morphologists for centuries.

Information Retrieval Lemmatization

The GW/LT3 VarDial 2016 Shared Task System for Dialects and Similar Languages Detection

no code implementations WS 2016 Ayah Zirikly, Bart Desmet, Mona Diab

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).

Feature Engineering

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