Approximate Nearest Neighbour Extraction Techniques and Neural Networks for Suicide Risk Prediction in the CLPsych 2022 Shared Task

Hermenegildo Fabregat Marcos, Ander Cejudo, Juan Martinez-romo, Alicia Perez, Lourdes Araujo, Nuria Lebea, Maite Oronoz, Arantza Casillas


Abstract
This paper describes the participation of our group on the CLPsych 2022 shared task.For task A, which tries to capture changes in mood over time, we have applied an Approximate Nearest Neighbour (ANN) extraction technique with the aim of relabelling the user messages according to their proximity, based on the representation of these messages in a vector space. Regarding the subtask B, we have used the output of the subtask A to train a Recurrent Neural Network (RNN) to predict the risk of suicide at the user level.The results obtained are very competitive considering that our team was one of the few that made use of the organisers’ proposed virtual environment and also made use of the Task A output to predict the Task B results.
Anthology ID:
2022.clpsych-1.17
Volume:
Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology
Month:
July
Year:
2022
Address:
Seattle, USA
Venues:
CLPsych | NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
199–204
Language:
URL:
https://aclanthology.org/2022.clpsych-1.17
DOI:
10.18653/v1/2022.clpsych-1.17
Bibkey:
Cite (ACL):
Hermenegildo Fabregat Marcos, Ander Cejudo, Juan Martinez-romo, Alicia Perez, Lourdes Araujo, Nuria Lebea, Maite Oronoz, and Arantza Casillas. 2022. Approximate Nearest Neighbour Extraction Techniques and Neural Networks for Suicide Risk Prediction in the CLPsych 2022 Shared Task. In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology, pages 199–204, Seattle, USA. Association for Computational Linguistics.
Cite (Informal):
Approximate Nearest Neighbour Extraction Techniques and Neural Networks for Suicide Risk Prediction in the CLPsych 2022 Shared Task (Fabregat Marcos et al., CLPsych 2022)
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PDF:
https://aclanthology.org/2022.clpsych-1.17.pdf