4 citations · 9 across the 5 of their papers we have counts for
5 papers
Better Question-Answering Models on a Budget
Yudhanjaya Wijeratne, Ishan Marikar
Low-rank adaptation (LoRA) and question-answer datasets from large language models have made it much easier for much smaller models to be finetuned to the point where they display…
Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages
Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva +1
In the process of numerically modeling natural languages, developing language embeddings is a vital step. However, it is challenging to develop functional embeddings for resource-p…
Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data
Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva +1
The relationship between Facebook posts and the corresponding reaction feature is an interesting subject to explore and understand. To achieve this end, we test state-of-the-art Si…
Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts
Vihanga Jayawickrama, Gihan Weeraprameshwara, Nisansa de Silva +1
The Facebook network allows its users to record their reactions to text via a typology of emotions. This network, taken at scale, is therefore a prime data set of annotated sentime…
Sinhala Language Corpora and Stopwords from a Decade of Sri Lankan Facebook
Yudhanjaya Wijeratne, Nisansa de Silva
This paper presents two colloquial Sinhala language corpora from the language efforts of the Data, Analysis and Policy team of LIRNEasia, as well as a list of algorithmically deriv…