Search Results for author:
Found 5 papers, 2 papers with code
Better Question-Answering Models on a Budget
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 sophisticated conversational abilities.
Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages
In the process of numerically modeling natural languages, developing language embeddings is a vital step.
Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data
The relationship between Facebook posts and the corresponding reaction feature is an interesting subject to explore and understand.
Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts
This paper uses millions of such reactions, derived from a decade worth of Facebook post data centred around a Sri Lankan context, to model an eye of the beholder approach to sentiment detection for online Sinhala textual content.
Sinhala Language Corpora and Stopwords from a Decade of Sri Lankan Facebook
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 derived stopwords.
