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20222026
most citedAspect-Based Sentiment Analysis Techniques: A Comparative Study

13 citations · 28 across the 21 of their papers we have counts for

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cs.CL2026

Dynamics of meaning: Towards the Evaluation of Diachronic Semantic Change in Sinhala

Nevidu Jayatilleke, Nisansa de Silva

Tracking semantic change in low-resource languages across extensive historical timelines presents significant challenges due to data scarcity and the limitations of static embeddin…

cs.CL2026

HelaBERT: Enhancing Sinhala Language Understanding with Dual Pooling Classification Head

Thisen Ekanayake, Nisansa de Silva

We present HelaBERT, a family of two BERT-based masked language models pre-trained from scratch on approximately 1 billion tokens of Sinhala text sourced from MADLAD-400, CulturaX,…

cs.CL2026

Semantics of Subterfuge: Benchmarking Legal Deception Detection Against General-domain State-of-the-Art

Theekshana Samaradiwakara, Nisansa de Silva, George C. Lobb

Deception detection has critical implications for legal proceedings, law enforcement, and online security. Although human judgment is limited in accuracy and scalability, Natural L…

cs.CL2026

SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis

Lakshani Galwatta, Nisansa de Silva, Sarangi Aththanayake +1

Sentiment analysis has been a primary domain under Natural Language Processing (NLP) from its inception as it plays a vital role in both real-world and research applications. In hi…

cs.CL2025

SiDiaC: Sinhala Diachronic Corpus

Nevidu Jayatilleke, Nisansa de Silva

SiDiaC, the first comprehensive Sinhala Diachronic Corpus, covers a historical span from the 5th to the 20th century CE. SiDiaC comprises 58k words across 46 literary works, annota…

cs.CL2025★ 2 cited

SinLlama -- A Large Language Model for Sinhala

H. W. K. Aravinda, Rashad Sirajudeen, Samith Karunathilake +3

Low-resource languages such as Sinhala are often overlooked by open-source Large Language Models (LLMs). In this research, we extend an existing multilingual LLM (Llama-3-8B) to be…