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The introduction of large language models (LLMs) has advanced natural language processing (NLP), but their effectiveness is largely dependent on pre-training resources. This is especially evident in low-resource languages, such as Sinhala, which face
Externí odkaz:
http://arxiv.org/abs/2403.16571
Autor:
Ranasinghe, Tharindu, Anuradha, Isuri, Premasiri, Damith, Silva, Kanishka, Hettiarachchi, Hansi, Uyangodage, Lasitha, Zampieri, Marcos
The widespread of offensive content online, such as hate speech and cyber-bullying, is a global phenomenon. This has sparked interest in the artificial intelligence (AI) and natural language processing (NLP) communities, motivating the development of
Externí odkaz:
http://arxiv.org/abs/2212.00851
The massive spread of false information on social media has become a global risk especially in a global pandemic situation like COVID-19. False information detection has thus become a surging research topic in recent months. NLP4IF-2021 shared task o
Externí odkaz:
http://arxiv.org/abs/2104.12201
Akademický článek
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Autor:
Ranasinghe, Tharindu1 (AUTHOR) t.ranasinghe@aston.ac.uk, Anuradha, Isuri (AUTHOR), Premasiri, Damith (AUTHOR), Silva, Kanishka (AUTHOR), Hettiarachchi, Hansi (AUTHOR), Uyangodage, Lasitha (AUTHOR), Zampieri, Marcos (AUTHOR)
Publikováno v:
Language Resources & Evaluation. Mar2024, p1-41.
