78 citations · 156 across the 29 of their papers we have counts for
35 papers
Can Model Fusing Help Transformers in Long Document Classification? An Empirical Study
Damith Premasiri, Tharindu Ranasinghe, Ruslan Mitkov
Text classification is an area of research which has been studied over the years in Natural Language Processing (NLP). Adapting NLP to multiple domains has introduced many new chal…
Deep Learning Methods for Extracting Metaphorical Names of Flowers and Plants
Amal Haddad Haddad, Damith Premasiri, Tharindu Ranasinghe +1
The domain of Botany is rich with metaphorical terms. Those terms play an important role in the description and identification of flowers and plants. However, the identification of…
Deep Learning Approaches to Lexical Simplification: A Survey
Kai North, Tharindu Ranasinghe, Matthew Shardlow +1
Lexical Simplification (LS) is the task of replacing complex for simpler words in a sentence whilst preserving the sentence's original meaning. LS is the lexical component of Text…
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…