@inproceedings{fabregat-marcos-etal-2022-approximate,
title = "Approximate Nearest Neighbour Extraction Techniques and Neural Networks for Suicide Risk Prediction in the {CLP}sych 2022 Shared Task",
author = "Fabregat Marcos, Hermenegildo and
Cejudo, Ander and
Martinez-romo, Juan and
Perez, Alicia and
Araujo, Lourdes and
Lebea, Nuria and
Oronoz, Maite and
Casillas, Arantza",
editor = "Zirikly, Ayah and
Atzil-Slonim, Dana and
Liakata, Maria and
Bedrick, Steven and
Desmet, Bart and
Ireland, Molly and
Lee, Andrew and
MacAvaney, Sean and
Purver, Matthew and
Resnik, Rebecca and
Yates, Andrew",
booktitle = "Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology",
month = jul,
year = "2022",
address = "Seattle, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.clpsych-1.17",
doi = "10.18653/v1/2022.clpsych-1.17",
pages = "199--204",
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.",
}
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%0 Conference Proceedings
%T Approximate Nearest Neighbour Extraction Techniques and Neural Networks for Suicide Risk Prediction in the CLPsych 2022 Shared Task
%A Fabregat Marcos, Hermenegildo
%A Cejudo, Ander
%A Martinez-romo, Juan
%A Perez, Alicia
%A Araujo, Lourdes
%A Lebea, Nuria
%A Oronoz, Maite
%A Casillas, Arantza
%Y Zirikly, Ayah
%Y Atzil-Slonim, Dana
%Y Liakata, Maria
%Y Bedrick, Steven
%Y Desmet, Bart
%Y Ireland, Molly
%Y Lee, Andrew
%Y MacAvaney, Sean
%Y Purver, Matthew
%Y Resnik, Rebecca
%Y Yates, Andrew
%S Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, USA
%F fabregat-marcos-etal-2022-approximate
%X 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.
%R 10.18653/v1/2022.clpsych-1.17
%U https://aclanthology.org/2022.clpsych-1.17
%U https://doi.org/10.18653/v1/2022.clpsych-1.17
%P 199-204
Markdown (Informal)
[Approximate Nearest Neighbour Extraction Techniques and Neural Networks for Suicide Risk Prediction in the CLPsych 2022 Shared Task](https://aclanthology.org/2022.clpsych-1.17) (Fabregat Marcos et al., CLPsych 2022)
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.