Can Multilingual Transformers Fight the COVID-19 Infodemic?

no code implementations • RANLP 2021 • Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi

False information detection has thus become a surging research topic in recent months.

BIG-bench Machine Learning

NSINA: A News Corpus for Sinhala

4 code implementations • 25 Mar 2024 • Hansi Hettiarachchi, Damith Premasiri, Lasitha Uyangodage, Tharindu Ranasinghe

NSINA is the largest news corpus for Sinhala, available up to date.

Benchmarking Headline Generation

SOLD: Sinhala Offensive Language Dataset

1 code implementation • 1 Dec 2022 • Tharindu Ranasinghe, Isuri Anuradha, Damith Premasiri, Kanishka Silva, Hansi Hettiarachchi, Lasitha Uyangodage, Marcos Zampieri

SOLD is a manually annotated dataset containing 10, 000 posts from Twitter annotated as offensive and not offensive at both sentence-level and token-level, improving the explainability of the ML models.

Language Identification Sentence

Transformers to Fight the COVID-19 Infodemic

1 code implementation • NAACL (NLP4IF) 2021 • Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi

NLP4IF-2021 shared task on fighting the COVID-19 infodemic has been organised to strengthen the research in false information detection where the participants are asked to predict seven different binary labels regarding false information in a tweet.