Search Results for author: Pablo Mosteiro

Found 6 papers, 1 papers with code

UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation

1 code implementation SemEval (NAACL) 2022 Injy Sarhan, Pablo Mosteiro, Marco Spruit

The goal of the task is to identify if a sentence is deemed acceptable or not, depending on the taxonomic relationship that holds between a noun pair contained in the sentence.

Binary Classification Data Augmentation +4

Bias Discovery in Machine Learning Models for Mental Health

no code implementations24 May 2022 Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit

We computed fairness metrics and present bias mitigation strategies using a model trained on clinical mental health data.

BIG-bench Machine Learning Fairness

Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting

no code implementations17 May 2022 Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit

In this work, we investigate the application of Federated Learning to clinical Natural Language Processing, applied to the task of Violence Risk Assessment by simulating a cross-institutional psychiatric setting.

Federated Learning

Making sense of violence risk predictions using clinical notes

no code implementations29 Apr 2022 Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit

Violence risk assessment in psychiatric institutions enables interventions to avoid violence incidents.

Topic Models

Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes

no code implementations28 Apr 2022 Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit

We explore conventional and deep machine learning methods to assess violence risk in psychiatric patients using practitioner notes.

BIG-bench Machine Learning

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