105 citations · 509 across the 48 of their papers we have counts for
5 papers · 1 filter
SOLD: Sinhala Offensive Language Dataset
Tharindu Ranasinghe, Isuri Anuradha, Damith Premasiri +4
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 natura…
Predicting the Type and Target of Offensive Social Media Posts in Marathi
Marcos Zampieri, Tharindu Ranasinghe, Mrinal Chaudhari +4
The presence of offensive language on social media is very common motivating platforms to invest in strategies to make communities safer. This includes developing robust machine le…
Overview of the HASOC Subtrack at FIRE 2022: Offensive Language Identification in Marathi
Tharindu Ranasinghe, Kai North, Damith Premasiri +1
The widespread of offensive content online has become a reason for great concern in recent years, motivating researchers to develop robust systems capable of identifying such conte…
Lexical Simplification Benchmarks for English, Portuguese, and Spanish
Sanja Stajner, Daniel Ferres, Matthew Shardlow +3
Even in highly-developed countries, as many as 15-30\% of the population can only understand texts written using a basic vocabulary. Their understanding of everyday texts is limite…
ALEXSIS-PT: A New Resource for Portuguese Lexical Simplification
Kai North, Marcos Zampieri, Tharindu Ranasinghe
Lexical simplification (LS) is the task of automatically replacing complex words for easier ones making texts more accessible to various target populations (e.g. individuals with l…