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Main Authors: Ramírez, Bruno Gil, Espejel, Jessica López, Díaz, María del Carmen Santiago, Linares, Gustavo Trinidad Rubín
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2408.01852
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author Ramírez, Bruno Gil
Espejel, Jessica López
Díaz, María del Carmen Santiago
Linares, Gustavo Trinidad Rubín
author_facet Ramírez, Bruno Gil
Espejel, Jessica López
Díaz, María del Carmen Santiago
Linares, Gustavo Trinidad Rubín
contents According to the World Health Organization (WHO), suicide was the fourth leading cause of death in the world for individuals aged 15 to 29 in 2019. Given the rapid increase in mental health issues, providing psychological support is both crucial and urgent. In this paper: (1) we propose Sólo Escúchame, the first open-source Spanish emotional assistance chatbot, based on LLaMA-2-7b-Chat. (2) We introduced the HEAR (Hispanic Emotional Accompaniment Responses) dataset, compiled from multiple English sources translated into Spanish, as well as generic data generated using ChatGPT-3.5-Turbo. Finally, (3) we propose an evaluation metric based on two semi-automatic assessment methods. Our system outperforms a range of state-of-the-art models in providing psychological assistance in Spanish. Our models and datasets are publicly available to facilitate reproducibility.
format Preprint
id arxiv_https___arxiv_org_abs_2408_01852
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Sólo Escúchame: Spanish Emotional Accompaniment Chatbot
Ramírez, Bruno Gil
Espejel, Jessica López
Díaz, María del Carmen Santiago
Linares, Gustavo Trinidad Rubín
Computation and Language
According to the World Health Organization (WHO), suicide was the fourth leading cause of death in the world for individuals aged 15 to 29 in 2019. Given the rapid increase in mental health issues, providing psychological support is both crucial and urgent. In this paper: (1) we propose Sólo Escúchame, the first open-source Spanish emotional assistance chatbot, based on LLaMA-2-7b-Chat. (2) We introduced the HEAR (Hispanic Emotional Accompaniment Responses) dataset, compiled from multiple English sources translated into Spanish, as well as generic data generated using ChatGPT-3.5-Turbo. Finally, (3) we propose an evaluation metric based on two semi-automatic assessment methods. Our system outperforms a range of state-of-the-art models in providing psychological assistance in Spanish. Our models and datasets are publicly available to facilitate reproducibility.
title Sólo Escúchame: Spanish Emotional Accompaniment Chatbot
topic Computation and Language
url https://arxiv.org/abs/2408.01852