Analyzing the use of existing systems for the CLPsych 2019 Shared Task
Alejandro González Hevia, Rebeca Cerezo Menéndez, Daniel Gayo-Avello
Abstract
In this paper we describe the UniOvi-WESO classification systems proposed for the 2019 Computational Linguistics and Clinical Psychology (CLPsych) Shared Task. We explore the use of two systems trained with ReachOut data from the 2016 CLPsych task, and compare them to a baseline system trained with the data provided for this task. All the classifiers were trained with features extracted just from the text of each post, without using any other metadata. We found out that the baseline system performs slightly better than the pretrained systems, mainly due to the differences in labeling between the two tasks. However, they still work reasonably well and can detect if a user is at risk of suicide or not.- Anthology ID:
- W19-3017
- Volume:
- Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota
- Editors:
- Kate Niederhoffer, Kristy Hollingshead, Philip Resnik, Rebecca Resnik, Kate Loveys
- Venue:
- CLPsych
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 148–151
- Language:
- URL:
- https://aclanthology.org/W19-3017
- DOI:
- 10.18653/v1/W19-3017
- Cite (ACL):
- Alejandro González Hevia, Rebeca Cerezo Menéndez, and Daniel Gayo-Avello. 2019. Analyzing the use of existing systems for the CLPsych 2019 Shared Task. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, pages 148–151, Minneapolis, Minnesota. Association for Computational Linguistics.
- Cite (Informal):
- Analyzing the use of existing systems for the CLPsych 2019 Shared Task (González Hevia et al., CLPsych 2019)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/W19-3017.pdf