1 code implementation • LREC 2022 • Vinura Dhananjaya, Piyumal Demotte, Surangika Ranathunga, Sanath Jayasena
We test on a set of different Sinhala text classification tasks and our analysis shows that out of the pre-trained multilingual models that include Sinhala (XLM-R, LaBSE, and LASER), XLM-R is the best model by far for Sinhala text classification.
no code implementations • 16 Aug 2022 • Vinura Dhananjaya, Piyumal Demotte, Surangika Ranathunga, Sanath Jayasena
We test on a set of different Sinhala text classification tasks and our analysis shows that out of the pre-trained multilingual models that include Sinhala (XLM-R, LaBSE, and LASER), XLM-R is the best model by far for Sinhala text classification.
no code implementations • 10 Sep 2021 • Piyumal Demotte, Surangika Ranathunga
Thus, they could be considered as a viable alternative for text classification for languages that do not have pre-trained contextual embedding models.
1 code implementation • 14 Nov 2020 • Lahiru Senevirathne, Piyumal Demotte, Binod Karunanayake, Udyogi Munasinghe, Surangika Ranathunga
For sentiment analysis, there exists only two previous research with deep learning approaches, which focused only on document-level sentiment analysis for the binary case.