TY - JOUR
T1 - URJC-Team at HOPE2023@IberLEF
T2 - 2023 Iberian Languages Evaluation Forum, IberLEF 2023
AU - Rodríguez-García, Miguel Ángel
AU - Riaño-Martínez, Adrián
AU - Herranz, Soto Montalvo
N1 - Publisher Copyright:
© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2023
Y1 - 2023
N2 - Detecting Hope Speech refers to identifying content in natural language that provokes optimism in people's minds, encouraging them to improve their life. This type of speech has a relevant target in our society, offering supporting messages for people suffering from depression, stress and loneliness. Despite its relevance, a significant number of published studies address to recognise the flip side of the coin, hate speech. This work describes our contribution to the HOPE challenge, i.e., detecting hope speech content in Spanish and English texts. Two different transform models are proposed to tackle the subtasks suggested in the challenge. Our proposal reaches notable results.
AB - Detecting Hope Speech refers to identifying content in natural language that provokes optimism in people's minds, encouraging them to improve their life. This type of speech has a relevant target in our society, offering supporting messages for people suffering from depression, stress and loneliness. Despite its relevance, a significant number of published studies address to recognise the flip side of the coin, hate speech. This work describes our contribution to the HOPE challenge, i.e., detecting hope speech content in Spanish and English texts. Two different transform models are proposed to tackle the subtasks suggested in the challenge. Our proposal reaches notable results.
KW - Deep Learning
KW - Hope Speech
KW - Natural Language Processing
KW - Transformers
UR - https://www.scopus.com/pages/publications/85175298238
U2 - 100000/000
DO - 100000/000
M3 - Conference article
AN - SCOPUS:85175298238
SN - 1613-0073
VL - 3496
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 26 September 2023
ER -