Overview of HOPE at IberLEF 2023: Multilingual Hope Speech Detection

• Autores: Luis Alfonso Ureña López , Rafael Valencia García , Salud M. Jiménez Zafra , Miguel Ángel García Cumbreras , Daniel García Baena, José Antonio García Díaz, Bharathi Raja Chakravarthi
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 71, 2023, págs. 371-381
• Idioma: inglés
• Títulos paralelos:
  • Resumen de la tarea HOPE en IberLEF 2023: Detección Multilingüe de Discurso Esperanzador
• Enlaces
  • Texto completo
• Resumen
  • Multiple

    Definimos el discurso de la esperanza como aquel que es capaz de relajar entornos hostiles y que ayuda, inspira y anima a las personas en momentos de enfermedad, estrés, soledad o depresión. Su detección automática puede tener un efecto muy significativo luchando contra la discriminación sexual y racial o fomentando entornos menos beligerantes. A diferencia de la identificación y censura del discurso negativo o de odio, la detección del discurso esperanzador se centra en reconocer y promover el discurso positivo. En este artículo presentamos los resultados de la tarea de IberLEF 2023, HOPE: Detección multilingüe del discurso de la esperanza, que consiste en identificar si textos escritos en inglés o español contienen o no discurso de esperanza. La competición se organizó a través de CodaLab y atrajo a 50 equipos que se inscribieron. Finalmente, 12 equipos presentaron resultados y 8 enviaron artículos describiendo sus sistemas.

  • English

    Hope speech is the speech that is able to relax hostile environments and that helps, inspires and encourages people in times of illness, stress, loneliness or depression. Its automatic recognition can have a very significant effect fighting against sexual and racial discrimination or fostering less belligerent environments. In contrast to identifying and censoring negative or hate speech, hope speech detection is focused on recognizing and promoting positive speech online. In this paper we present an overview of the IberLEF 2023 shared task, HOPE: Multilingual Hope Speech Detection, consisting of identifying whether texts written in English or Spanish contain hope speech or not. The competition was organized through CodaLab and attracted 50 teams that registered. Finally, 12 submitted results and 8 presented working notes describing their systems.

• Referencias bibliográficas
  • Ahani, Z., G. Sidorov, O. Kolesnikova, and A. Gelbukh. 2023. Zavira at HOPE2023IberLEF: Hope Speech Detection from Text using TF-IDF Features and...
  • Balaji, V., A. Kannan, A. Balaji, and B. Bharathi. 2023. NLP SSN CSE at HOPE2023IberLEF: Multilingual Hope Speech Detection using Machine...
  • Burnap, P., G. Colombo, R. Amery, A. Hodorog, and J. Scourfield. 2017. Multi-class machine classification of suicide-related communication...
  • Cañete, J., G. Chaperon, R. Fuentes, J.-H. Ho, H. Kang, and J. Pérez. 2020. Spanish pre-trained bert model and evaluation data. Pml4dc at...
  • Cañete, J., S. Donoso, F. Bravo-Marquez, A. Carvallo, and V. Araujo. 2022. Albeto and distilbeto: Lightweight spanish language models. In...
  • Chakravarthi, B. R. 2020. Hopeedi: A multilingual hope speech detection dataset for equality, diversity, and inclusion. In Proceedings of...
  • Chakravarthi, B. R., V. Muralidaran, R. Priyadharshini, S. Chinnaudayar Navaneethakrishnan, J. P. McCrae, M. A. García-Cumbreras, S. M. Jiménez-Zafra, R....
  • Conneau, A., K. Khandelwal, N. Goyal, V. Chaudhary, G. Wenzek, F. Guzmán, é. Grave, M. Ott, L. Zettlemoyer, and V. Stoyanov. 2020. Unsupervised...
  • Devlin, J., M.-W. Chang, K. Lee, and K. Toutanova. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding....
  • Domínguez Olmedo, J. L., J. Mata Vázquez, and V. Pachón álvarez. 2023. I2C-Huelva at HOPE2023IberLEF: Simple Use of Transformers for Automatic...
  • García-Baena, D., M. García-Cumbreras, S. M. Zafra, J. García-Díaz, and R. Valencia-García. 2023. Hope speech detection in spanish. Language...
  • García-Díaz, J. A., á. Almela, G. Alcaraz- Mármol, and R. Valencia-García. 2020. Umucorpusclassifier: Compilation and evaluation of linguistic...
  • Gemeda Yigezu, M., G. Yohannis Bade, O. Kolensikova, G. Sidorov, and A. Gelbukh. 2023. Multilingual Hope Speech Detection using Machine Learning....
  • He, P., X. Liu, J. Gao, and W. Chen. 2020. Deberta: Decoding-enhanced bert with disentangled attention. arXiv preprint arXiv:2006.03654.
  • Huertas-Tato, J., A. Martin, and D. Camacho. 2022. Bertuit: Understanding spanish language in twitter through a native transformer. arXiv...
  • Jiménez-Zafra, S. M., F. Rangel, and M. Montes-y Gómez. 2023. Overview of IberLEF 2023: Natural Language Processing Challenges for Spanish...
  • Kitzie, V. 2018. I pretended to be a boy on the internet: Navigating affordances and constraints of social networking sites and search engines...
  • Lan, Z., M. Chen, S. Goodman, K. Gimpel, P. Sharma, and R. Soricut. 2019. Albert: A lite bert for self-supervised learning of language representations....
  • Liu, Y., M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov. 2019. Roberta: A robustly optimized...
  • Milne, D. N., G. Pink, B. Hachey, and R. A. Calvo. 2016. Clpsych 2016 shared task: Triaging content in online peer-support forums. In Proceedings...
  • Ngo, A. and H. T. H. Tran. 2023. Zootopi at HOPE2023IberLEF: Is Zero-Shot Chat- GPT the Future of Hope Speech Detection? In Proceedings of...
  • no, A. G. F., J. A. Estapé, M. P`amies, J. L. Palao, J. S. Ocampo, C. P. Carrino, C. A. Oller, C. R. Penagos, A. G. Agirre, and M. Villegas....
  • Palakodety, S., A. R. KhudaBukhsh, and J. G. Carbonell. 2019. Hope speech detection: A computational analysis of the voice of peace. arXiv...
  • Pan, R., G. Alcaraz-Mármol, and F. García- Sánchez. 2023. UMUTeam at HOPE2023IberLEF: Evaluation of Transformer Model with Data Augmentation for...
  • Rodríguez-García, M. A., A. Riaño Martínez, and S. Montalvo Herranz. 2023. URJCTeam at HOPE2023IberLEF: Multilingual Hope Speech Detection...
  • Sanh, V., L. Debut, J. Chaumond, and T. Wolf. 2019. Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter. arXiv preprint...
  • Shahiki-Tash, M., J. Armenta-Segura, O. Kolesnikova, G. Sidorov, and A. Gelbukh. 2023. LIDOMA at HOPE2023IberLEF: Hope Speech Detection Using...