Autores
Balouchzahi Fazlourrahman
Butt Sabur
Sidorov Grigori
Gelbukh Alexander
Título CIC@LT-EDI-ACL2022: Are transformers the only hope? Hope speech detection for Spanish and English comments
Tipo Congreso
Sub-tipo Memoria
Descripción 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, LTEDI 2022
Resumen Hope is an inherent part of human life and essential for improving the quality of life. Hope increases happiness and reduces stress and feelings of helplessness. Hope speech is the desired outcome for better and can be studied using text from various online sources where people express their desires and outcomes. In this paper, we address a deep-learning approach with a combination of linguistic and psycholinguistic features for hope-speech detection. We report our best results submitted to LT-EDI-2022 which ranked 2nd and 3rd in English and Spanish respectively. © 2022 Association for Computational Linguistics.
Observaciones
Lugar Dublin
País Irlanda
No. de páginas 206-211
Vol. / Cap.
Inicio 2022-05-27
Fin
ISBN/ISSN 9781955917438