@inproceedings{balouchzahi-etal-2022-cic,
title = "{CIC}@{LT}-{EDI}-{ACL}2022: Are transformers the only hope? Hope speech detection for {S}panish and {E}nglish comments",
author = "Balouchzahi, Fazlourrahman and
Butt, Sabur and
Sidorov, Grigori and
Gelbukh, Alexander",
editor = "Chakravarthi, Bharathi Raja and
Bharathi, B and
McCrae, John P and
Zarrouk, Manel and
Bali, Kalika and
Buitelaar, Paul",
booktitle = "Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.ltedi-1.28",
doi = "10.18653/v1/2022.ltedi-1.28",
pages = "206--211",
abstract = "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 psycho-linguistic 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.",
}
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%0 Conference Proceedings
%T CIC@LT-EDI-ACL2022: Are transformers the only hope? Hope speech detection for Spanish and English comments
%A Balouchzahi, Fazlourrahman
%A Butt, Sabur
%A Sidorov, Grigori
%A Gelbukh, Alexander
%Y Chakravarthi, Bharathi Raja
%Y Bharathi, B.
%Y McCrae, John P.
%Y Zarrouk, Manel
%Y Bali, Kalika
%Y Buitelaar, Paul
%S Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F balouchzahi-etal-2022-cic
%X 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 psycho-linguistic 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.
%R 10.18653/v1/2022.ltedi-1.28
%U https://aclanthology.org/2022.ltedi-1.28
%U https://doi.org/10.18653/v1/2022.ltedi-1.28
%P 206-211
Markdown (Informal)
[CIC@LT-EDI-ACL2022: Are transformers the only hope? Hope speech detection for Spanish and English comments](https://aclanthology.org/2022.ltedi-1.28) (Balouchzahi et al., LTEDI 2022)
ACL