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IberLEF 2024 Task - HOPE: Approaching Hope Speech Detection in Social Media from Two Perspectives, for Equality, Diversity and Inclusion and as Expectations

Held as part of the evaluation forum IberLEF 2024 https://sites.google.com/view/iberlef-2024/home?authuser=0 in the 40th edition of the International Conference of the Spanish Society for Natural Language Processing (SEPLN 2024 http://sepln2024.infor.uva.es/en/front-page-english/)

Valladolid, Spain, 24-27 September 2024

Codalab link: https://codalab.lisn.upsaclay.fr/competitions/17714

Dear All,

Hope, a crucial aspect of human psychology, profoundly shapes emotions, behavior, and mood, influencing how individuals perceive and navigate challenges (Bruininks and Malle, 2005; Snyder, 1994, 2000). High levels of hope correlate with positive outcomes such as academic success and lower depression rates, while low hope is associated with diminished well-being (Snyder, 2002; Snyder et al., 1997; Diener, 2009). Despite its significance, hope has been underexplored in Natural Language Processing (NLP) until recent years. Efforts have been made to integrate NLP techniques into the analysis of hope through shared tasks, like those organized in ACL 2022, RANLP 2023, and IberLEF 2023 (Chakravarthi et al., 2022; Kumaresan et al., 2023; Jiménez-Zafra et al., 2023). The upcoming IberLEF 2024 edition aims to delve deeper into hope from two angles: hope for equality, diversity, and inclusion, and hope as expectations. This edition promises to expand understanding by examining hope across different domains and languages, thus addressing crucial questions in hope speech detection research. Two tasks are outlined in this description, each focusing on different aspects of hope.

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Task 1: It centers on "Hope for Equality, Diversity, and Inclusion," emphasizing the importance of hope speech in mitigating hostility and supporting individuals facing challenges like illness, stress, or loneliness, particularly within vulnerable groups such as the LGBT community and racial minorities. This task consists of giving a Spanish tweet, identifying whether it contains hope speech or not. The possible categories for each text are: -

hs: hope speech. -

nhs: non hope speech.

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Task 2: It delves into "Hope as Expectations," highlighting hope's role as an anticipatory mindset shaping human emotions and behaviors, especially in the context of social media where expressions are abundant. This task aims to analyze hope speech's presence in English and Spanish texts, focusing on binary hope speech detection and multiclass hope speech detection. The subtask are presented as follows, -

Subtask 2a- Binary Hope speech detection: A given text in English/Spanish will be classified as: -

Hope -

Not Hope -

Subtask 2b- Multiclass Hope speech detection: A given text in English/Spanish will be classified as: -

Generalized Hope -

Realistic Hope -

Unrealistic Hope -

Not Hope

In both tasks, there will be a real-time leaderboard and the participants will be allowed to make a maximum of 10 submissions through CodaLab, from which each team will have to select the best one for ranking.

The dataset details and registration are available at: https://codalab.lisn.upsaclay.fr/competitions/17714

Best regards,

The HOPE 2024 organizing committee

Important dates

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Release of training + development corpora: Feb 16, 2024. -

Release of test corpora and start of evaluation campaign: April 1, 2024. -

End of evaluation campaign (deadline for runs submission): Apr 16, 2024. -

Publication of official results: Apr 18, 2024. -

Paper submission: May 14, 2024. -

Review notification: Jun 11, 2024. -

Camera-ready submission: Jun 28, 2024. -

IberLEF Workshop (SEPLN 2024): Sep 27, 2024. -

Publication of proceedings: Sep ??, 2024.

Organizing Committee

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Daniel García-Baena, SINAI, Universidad de Jaén, Spain. -

Fazlourrahman Balouchzahi, CIC IPN, Mexico. -

Salud María Jiménez-Zafra, SINAI, Universidad de Jaén, Spain. -

Sabur Butt, Institute for the Future of Education (IFE) at Tecnológico de Monterrey, Mexico. -

Miguel Ángel García-Cumbreras, SINAI, Universidad de Jaén, Spain. -

Atnafu Lambebo Tonja, Centro de Investigación en Computación, Instituto Politécnico Nacional (IPN), Mexico. -

José Antonio García-Díaz, UMUTeam, Universidad de Murcia, Spain. -

Selen Bozkurt, Department of Biomedical Informatics, School of Medicine, Emory University. -

Bharathi Raja Chakravarthi, University of Galway, Ireland. -

Hector G. Ceballos, Institute for the Future of Education (IFE) at Tecnologico de Monterrey, Mexico. -

Rafael Valencia-García, UMUTeam, Universidad de Murcia, Spain. -

Grigori Sidorov, CIC IPN, Mexico. -

L. Alfonso Ureña-López, SINAI, Universidad de Jaén, Spain. -

Alexander Gelbukh, CIC IPN, Mexico.

*Sabur Butt, Ph.D. *(He/Him) Institute for the Future of Education (IFE) *Tecnológico de Monterrey, Mexico* Address: Av. Eugenio Garza Sada 2501 Sur Tecnológico, 64849 Monterrey, N.L. LinkedIn https://www.linkedin.com/in/saburb - GitHub https://github.com/saburbutt - Scholar https://scholar.google.com/citations?user=re7md-0AAAAJ&hl=en - Website https://saburbutt.github.io/