177 citations · 227 across the 27 of their papers we have counts for
29 papers
Math2Visual-X: A Modular Framework for Pedagogically Aligned Lower-Primary Math Visuals Generation
H. D. E. Maduranga, S. K. Munasinghe, K. P. T. I. Weerasekara +2
Visual representations can help lower-primary learners understand Math Word Problems, but generating classroom-usable visuals remains difficult. Existing symbolic systems are contr…
TripleBound: Triplet-Guided Heterogeneous Graph Learning for Microservice Decomposition
Mineth Weerasinghe, Himindu Kularathne, Methmini Madhushika +4
Cloud computing and DevOps have made microservices a common architecture for scalable, maintainable software systems. However, migrating monoliths to microservices remains challeng…
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…
Confident but Wrong: A Constrained Decoding Diagnostic for Low-Resource Automatic Post-Editing
Isuru Wijesiri, Nisansa de Silva, Kavindu Warnakulasuriya +2
Automatic Post-Editing (APE) for low-resource languages (LRLs) often fails to improve Machine Translation (MT), and the score alone cannot say why: whether more training would help…
Forecasting Weather-Driven Price Dynamics Across Sri Lankan Tea Market Catalogues
Hesandi Mallawarachchi, Senilka Madurapperumage, Nadil Kulathunge +6
The Colombo Tea Auction (CTA) plays a vital role in determining global tea prices, yet the relationship between local weather conditions and price behavior across different tea cat…
EnSiTa - A Trilingual Multi-Domain Parallel Dataset and Benchmark for Domain-Specific Machine Translation
Surangika Ranathunga, Nisansa de Silva, Aloka Fernando +8
Machine Translation (MT) for low-resource languages remains far behind that of high-resource languages, and the gap is widest in specialised domains, where parallel data is scarce…
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,…
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…
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…
Section-Weighted Hybrid Approach for Legal Case Retrieval
Rajith Arulanandam, Nisansa de Silva
Finding truly analogous precedents requires capturing legal reasoning beyond surface word overlap. We present a two-stage, section-aware framework for legal case retrieval that fir…
From Monolith to Microservices: A Comparative Evaluation of Decomposition Frameworks
Mineth Weerasinghe, Himindu Kularathne, Methmini Madhushika +4
Software modernisation through the migration from monolithic architectures to microservices has become increasingly critical, yet identifying effective service boundaries remains a…
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…
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…
M2DS: Multilingual Dataset for Multi-document Summarisation
Kushan Hewapathirana, Nisansa de Silva, C. D. Athuraliya
In the rapidly evolving digital era, there is an increasing demand for concise information as individuals seek to distil key insights from various sources. Recent attention from re…
Aspect-Based Sentiment Analysis Techniques: A Comparative Study
Dineth Jayakody, Koshila Isuranda, A V A Malkith +4
Since the dawn of the digitalisation era, customer feedback and online reviews are unequivocally major sources of insights for businesses. Consequently, conducting comparative anal…
SHADE: Semantic Hypernym Annotator for Domain-specific Entities -- DnD Domain Use Case
Akila Peiris, Nisansa de Silva
Manual data annotation is an important NLP task but one that takes considerable amount of resources and effort. In spite of the costs, labeling and categorizing entities is essenti…
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research
Surangika Ranathunga, Nisansa de Silva, Dilith Jayakody +1
We analysed a sample of NLP research papers archived in ACL Anthology as an attempt to quantify the degree of openness and the benefit of such an open culture in the NLP community.…
Fine Tuning Named Entity Extraction Models for the Fantasy Domain
Aravinth Sivaganeshan, Nisansa de Silva
Named Entity Recognition (NER) is a sequence classification Natural Language Processing task where entities are identified in the text and classified into predefined categories. It…
Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora
Surangika Ranathunga, Nisansa de Silva, Menan Velayuthan +2
We conducted a detailed analysis on the quality of web-mined corpora for two low-resource languages (making three language pairs, English-Sinhala, English-Tamil and Sinhala-Tamil).…
Sinhala-English Word Embedding Alignment: Introducing Datasets and Benchmark for a Low Resource Language
Kasun Wickramasinghe, Nisansa de Silva
Since their inception, embeddings have become a primary ingredient in many flavours of Natural Language Processing (NLP) tasks supplanting earlier types of representation. Even tho…
Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domain
Gayashan Weerasundara, Nisansa de Silva
Many NLP tasks, although well-resolved for general English, face challenges in specific domains like fantasy literature. This is evident in Named Entity Recognition (NER), which de…
Multi-document Summarization: A Comparative Evaluation
Kushan Hewapathirana, Nisansa de Silva, C. D. Athuraliya
This paper is aimed at evaluating state-of-the-art models for Multi-document Summarization (MDS) on different types of datasets in various domains and investigating the limitations…
Sinhala-English Parallel Word Dictionary Dataset
Kasun Wickramasinghe, Nisansa de Silva
Parallel datasets are vital for performing and evaluating any kind of multilingual task. However, in the cases where one of the considered language pairs is a low-resource language…
Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragons
Akila Peiris, Nisansa de Silva
This paper introduces the Forgotten Realms Wiki (FRW) data set and domain specific natural language generation using FRW along with related analyses. Forgotten Realms is the de-fac…