PI: Nisansa de Silva
We propose to advance aspect-based sentiment analysis (ABSA) by developing enhanced models, datasets, and evaluation methods that improve the accuracy and applicability of sentiment classification across multiple domains.
PI: Dejing Dou
We propose to advance biomedical natural language processing by combining ontology-based reasoning, semantic search, and embedding-driven methods to improve information extraction, representation, and consistency detection in biomedical texts.
PI: Surangika Ranathunga
We propose to create a multi-domain Neural Machine Translation (NMT) System for Sinhala, Tamil, and English, the official languages of Sri Lanka.
PI: Nisansa de Silva
We propose to advance natural language processing for low-resource settings by leveraging data augmentation, transfer learning, and model adaptation techniques to overcome the scarcity of annotated data and linguistic resources.
PI: Sandareka Wickramanayake
We propose to advance automated program repair by leveraging natural language processing techniques, iterative repair strategies, and explainable AI frameworks to enhance accuracy, robustness, and interpretability of repair systems.
PI: Nisansa de Silva
This project attempts to generate adventures, images, and encounters for Dungeons and Dragons, the world's most popular Table Top Role Playing Game.
PI: Rohan Samarajiva
We propose to investigate the role of natural language processing in government by building methods, frameworks, and resources that enable data-driven policy-making while ensuring ethical, transparent, and inclusive outcomes.
PI: Dejing Dou
We propose to advance methods for semantic oppositeness detection in natural language, focusing on embedding-based models and contextual representations to improve reasoning and error detection in text.
PI: Nisansa de Silva
This project delves into the synergy between Natural Language Processing (NLP) and the legal domain, presenting novel solutions to enduring challenges.
PI: Nisansa de Silva
We propose to build and analyze Sinhala language resources, datasets, and models to strengthen NLP research for this low-resource language, while connecting it to English and Tamil through bilingual lexicons, embeddings, and cross-lingual methods.
PI: Nisansa de Silva
We propose to advance social media text analysis by combining linguistic study, preprocessing, and deep learning models to better capture sentiment, structure, and meaning in informal, large-scale user-generated text.
PI: Nisansa de Silva
We propose to advance automatic summarization and generation techniques, with a focus on aspect-aware methods that capture fine-grained information and sentiment within concise textual representations.
Dissertations
W.A.S.A Fernando, "Data Augmentation to Induce High Quality Parallel Data for Low-Resource Neural Machine Translation", University of Moratuwa, 2025
Naida Hewa Nisansa Dilushan de Silva, "Semantic Oppositeness for Inconsistency and Disagreement Detection in Natural Language", University of Oregon, 2020
Theses: MSc Major Component Research
Menan Velayuthan, "Multi-Domain Neural Machine Translation with Knowledge Distillation For Low Resource Languages", University of Moratuwa, 2025
Gathika Ratnayaka, "Minimizing domain bias when adapting sentiment analysis techniques to the legal domain", University of Moratuwa, 2022
Theses: MSc Minor Component Research
Pubudu Cooray, "Headline Generation for Sinhala Newspaper Articles using Pre-trained Language Models", University of Moratuwa, 2025
Dushan Kumarasinghe, "Automatic Generation of Research Paper Abstracts using Deep-Hybrid Models", University of Moratuwa, 2025
Kushan Hewapathirana, "Towards Multi-document Summarisation in Low-resource Settings", University of Moratuwa, 2025
Sadeep Gunathilaka, "Automated User Review Analysis To Facilitate Potential Mobile Application Evolution", University of Moratuwa, 2025
Kasun Wickramasinghe, "Bilingual Lexicon Induction for the Sinhala-English Language Pair", University of Moratuwa, 2024
Gayashan Weerasundara, "Sustained Context Aware Image and Adventure Generation for the Dungeons \& Dragons Domain", University of Moratuwa, 2024
Akila Peiris, "Dungeons \& Dragons Fantasy Adventure Generation", University of Moratuwa, 2024
Theses: BSc
Sahan Jayasinghe, Lakith Rambukkanage, and Ashan Silva, "SigmaLaw - Predicting Winning Party of a Legal Case using Legal Opinion Texts", University of Moratuwa, 2022
Dilini Karunarathna, Chanika Mudalige, and Isanka Rajapaksha, "Party Based Sentiment Analysis of Legal Opinion Texts", University of Moratuwa, 2020
Melonie de Almeida and Chamodi Samarawickrama, "Party Identification of Legal Documents", University of Moratuwa, 2020
Gathika Ratnayaka, Thejan Rupasinghe, Menuka Warushavithana, and Viraj Gamage, "Ontology-Based Information Extraction for Automatic Generation of Legal Arguments", University of Moratuwa, 2019
Vindula Jayawardana, Keet Sugathadasa, Dimuthu Lakmal, and Buddhi Rathnayake, "Ontology-Based Legal Information Extraction", University of Moratuwa, 2018
Nadeeshaan Gunasinghe, Dulanga Sashika, Anushka De Silva, and Thilina Premasiri, "Warana: Recruitment Helper for Enterprises", University of Moratuwa, 2015
Chiran Chathuranga, Eranga Mapa, Lasitha Wattaladeniya, and Samith Dassanayake, "SELCHI: Travel Profiling", University of Moratuwa, 2014
Eranda Karannagoda, Thilina Herath, Jayaprabath Fernando, and Isura Karunarathne, "SigmaC: Document Analysis Based Automatic Concept Map Generation for Enterprises", University of Moratuwa, 2013
Journal Papers
Vihanga Jayawickrama, Gihan Weeraprameshwara, Nisansa de Silva, and Yudhanjaya Wijeratne, "Facebook for Sentiment Analysis: Baseline Models to Predict Facebook Reactions of Sinhala Posts", The International Journal on Advances in ICT for Emerging Regions, vol. 15, no. 2, 2022. doi: 10.4038/icter.v15i2.7248
Sahan Jayasinghe, Lakith Ransika Rambukkanage, Ashan Silva, Nisansa de Silva, and Amal Shehan Perera, "Unified Legal Party Based Sentiment Analysis Pipeline", The International Journal on Advances in ICT for Emerging Regions, vol. 15, no. 2, 2022. doi: 10.4038/icter.v15i2.7247
Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Gayan Kavirathne, Thirasara Ariyarathna, and Anjana Wijesinghe, "Context Sensitive Verb Similarity Dataset for Legal Information Extraction", Data, vol. 7, no. 7, 2022. doi: 10.3390/data7070087
Chamodi Samarawickrama, Melonie de Almeida, Nisansa de Silva, Gathika Ratnayaka, and Amal Shehan Perera, "Legal Party Extraction from Legal Opinion Texts Using Recurrent Deep Neural Networks", Journal of Data Intelligence, vol. 3, no. 3, pp. 350--365, 2022. doi: 10.26421/JDI3.3-4
Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, and Amal Shehan Perera, "Sigmalaw PBSA-A Deep Learning Approach for Aspect-Based Sentiment Analysis in Legal Opinion Texts", Journal of Data Intelligence, vol. 3, no. 1, pp. 101--115, 2021. doi: 10.26421/JDI3.1-1
Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Menuka Warushavithana, Viraj Gamage, Madhavi Perera, and Amal Shehan Perera, "Classifying Sentences in Court Case Transcripts using Discourse and Argumentative Properties", ICTer, vol. 12, no. 1, 2019. doi: 10.4038/icter.v12i1.7200
Pengwei Wang, Lei Ji, Jun Yan, Dejing Dou, Nisansa de Silva, Yong Zhang, and Lianwen Jin, "Concept and Attention-Based CNN for Question Retrieval in Multi-View Learning", ACM Transactions on Intelligent Systems and Technology (TIST), vol. 9, no. 4, pp. 41, 2018. doi: 10.1145/3151957
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha, and Madhavi Perera, "Word Vector Embeddings and Domain Specific Semantic based Semi-Supervised Ontology Instance Population", International Journal on Advances in ICT for Emerging Regions, vol. 10, no. 1, pp. 1, 2017. doi: 10.4038/icter.v11i1.7191
Fernando Gutierrez, Dejing Dou, Nisansa de Silva, and Stephen Fickas, "Online Reasoning for Semantic Error Detection in Text", Journal on Data Semantics, Jul. 2017. doi: 10.1007/s13740-017-0079-6
Jingshan Huang, Fernando Gutierrez, Harrison J Strachan, Dejing Dou, Weili Huang, Barry Smith, Judith A Blake, Karen Eilbeck, Darren A Natale, Yu Lin, Bin Wu, Nisansa de Silva, and others, "OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data", Journal of biomedical semantics, vol. 7, no. 1, pp. 25, 2016. doi: 10.1186/s13326-016-0064-2
Eranga Mapa, Lasitha Wattaladeniya, Chiran Chathuranga, Samith Dassanayake, Nisansa de Silva, Upali Kohomban, and Danaja Maldeniya, "Text Normalization in Social Media by using Spell Correction and Dictionary Based Approach", Systems Learning, vol. 1, pp. 1--6, 2012
Conference Papers
Yomal De Mel and Nisansa de Silva, "GeeSanBhava: Sentiment Tagged Sinhala Music Video Comment Data Set", in International Conference on Computational Collective Intelligence, 2025, pp. 157--171. doi: 10.1007/978-3-032-10209-6_11
Vishal Thenuwara and Nisansa de Silva, "DESS: DeBERTa Enhanced Syntactic-Semantic Aspect Sentiment Triplet Extraction", in International Conference on Computational Collective Intelligence, 2025, pp. 185--199. doi: 10.1007/978-3-032-09318-9_13
Kasun Wickramasinghe and Nisansa de Silva, "How Good is BLI as an Alignment Measure: A Study in Word Embedding Paradigm", in International Conference on Computational Collective Intelligence, 2025, pp. 383--397. doi: 10.1007/978-3-032-10202-7_26
Imalsha Puranegedara, Themira Chathumina, Nisal Ranathunga, Nisansa de Silva, Surangika Ranathunga, and Mokanarangan Thayaparan, "Utilizing Multilingual Encoders to Improve Large Language Models for Low-Resource Languages", in Moratuwa Engineering Research Conference (MERCon), 2025. doi: 10.1109/MERCon67903.2025.11216992 
H W K Aravinda, Rashad Sirajudeen, Samith Karunathilake, Nisansa de Silva, Surangika Ranathunga, and Rishemjit Kaur, "SinLlama-A Large Language Model for Sinhala", in Moratuwa Engineering Research Conference (MERCon), 2025. doi: 10.1109/MERCon67903.2025.11217094
Aloka Fernando, Nisansa de Silva, Menan Velayuthan, Charitha Rathnayaka, and Surangika Ranathunga, "Improving the quality of Web-mined Parallel Corpora of Low-Resource Languages using Debiasing Heuristics", in Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025, pp. 28252--28269. doi: 10.18653/v1/2025.emnlp-main.1435
Sadeep Gunathilaka and Nisansa de Silva, "Automatic Analysis of App Reviews Using LLMs", in Proceedings of the Conference on Agents and Artificial Intelligence, 2025, pp. 828-839. doi: 10.5220/0013375600003890
Gayashan Weerasundara and Nisansa de Silva, "A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D\&D Domain", in Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, SciTePress, 2024, pp. 235-242. doi: 10.5220/0012317600003636
Kasun Wickramasinghe and Nisansa de Silva, "Sinhala-English Word Embedding Alignment: Introducing Datasets and Benchmark for a Low Resource Language", in Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, 2023, pp. 424--435.
Kushan Hewapathirana, Nisansa de Silva, and C D Athuraliya, "Multi-Document Summarization: A Comparative Evaluation", in 2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), 2023, pp. 19--24. doi: 10.1109/ICIIS58898.2023.10253581
Kasun Wickramasinghe and Nisansa de Silva, "Sinhala-English Parallel Word Dictionary Dataset", in 2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), 2023, pp. 61--66. doi: 10.1109/ICIIS58898.2023.10253560
Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Shehan Perera, and Madhavi Perera, "Learning Sentence Embeddings in the Legal Domain with Low Resource Settings", in Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022, pp. 494--502.
Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva, and Yudhanjaya Wijeratne, "Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages", in Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022, pp. 325--336. doi: 10.48550/ARXIV.2210.14472
Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, and Amal Shehan Perera, "Legal Case Winning Party Prediction With Domain Specific Auxiliary Models", in Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022), 2022, pp. 205--213.
Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva, and Yudhanjaya Wijeratne, "Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data", in 2022 The 3rd International Conference on Artificial Intelligence in Electronics Engineering, Association for Computing Machinery, 2022, pp. 16-22. doi: 10.1145/3512826.3512829
Vihanga Jayawickrama, Gihan Weeraprameshwara, Nisansa de Silva, and Yudhanjaya Wijeratne, "Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts", in 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), 2021, pp. 177-182. doi: 10.1109/ICter53630.2021.9774796 
Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, and Amal Shehan Perera, "Party-based Sentiment Analysis Pipeline for the Legal Domain", in 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), 2021, pp. 171-176. doi: 10.1109/ICter53630.2021.9774821
Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, and Amal Shehan Perera, "Critical Sentence Identification in Legal Cases Using Multi-Class Classification", in 2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS), 2021, pp. 146--151. doi: 10.1109/ICIIS53135.2021.9660657
Melonie de Almeida, Chamodi Samarawickrama, Nisansa de Silva, Gathika Ratnayaka, and Shehan Perera, "Identifying Legal Party Members from Legal Opinion Documents using Natural Language Processing", in The 23rd International Conference on Information Integration and Web Intelligence, 2021, pp. 259--266. doi: 10.1145/3487664.3487700
Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Amal Shehan Perera, and Gathika Ratnayaka, "Sigmalaw PBSA-A Deep Learning Model for Aspect-Based Sentiment Analysis for the Legal Domain", in International Conference on Database and Expert Systems Applications, 2021, pp. 125--137. doi: 10.1007/978-3-030-86472-9_12
Nisansa de Silva and Dejing Dou, "Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks", in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021, pp. 405--415. doi: 10.18653/v1/2021.eacl-main.31
Chamodi Samarawickrama, Melonie de Almeida, Nisansa de Silva, Gathika Ratnayaka, and Amal Shehan Perera, "Party Identification of Legal Documents using Co-reference Resolution and Named Entity Recognition", in 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), 2020, pp. 494--499. doi: 10.1109/ICIIS51140.2020.9342720
Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Rathnayaka, and Amal Shehan Perera, "Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts", in 2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer), 2020, pp. 284--285. doi: 10.1109/ICTer51097.2020.9325435
Melonie de Almeida, Chamodi Samarawickrama, Nisansa de Silva, Gathika Ratnayaka, and Amal Shehan Perera, "Legal Party Extraction from Legal Opinion Text with Sequence to Sequence Learning", in 2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer), 2020, pp. 143--148. doi: 10.1109/ICTer51097.2020.9325488
Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, and Yunyao Li, "Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization", in Proceedings of the 28th International Conference on Computational Linguistics, 2020, pp. 545--555. doi: 10.18653/v1/2020.coling-main.47
Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera, and Ramesh Pathirana, "SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts", in 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), 2020, pp. 488--493. doi: 10.1109/ICIIS51140.2020.9342650
Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, and Ramesh Pathirana, "Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting", in Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020, pp. 252--260.
Nisansa de Silva and Dejing Dou, "Semantic Oppositeness Embedding Using an Autoencoder-based Learning Model", in Database and Expert Systems Applications, 2019, pp. 159--174. doi: 10.1007/978-3-030-27615-7_12
Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Menuka Warushavithana, Viraj Gamage, and Amal Shehan Perera, "Identifying Relationships Among Sentences in Court Case Transcripts Using Discourse Relations", in 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer), 2018, pp. 13--20. doi: 10.1109/ICTER.2018.8615485
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, and Madhavi Perera, "Legal Document Retrieval using Document Vector Embeddings and Deep Learning", in Science and information conference, 2018, pp. 160--175. doi: 10.1007/978-3-030-01177-2_12
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, and Madhavi Perera, "Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity", in 2017 IEEE International Conference on Industrial and Information Systems (ICIIS), 2017, pp. 1--6. doi: 10.1109/ICIINFS.2017.8300343
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha, and Madhavi Perera, "Semi-Supervised Instance Population of an Ontology using Word Vector Embedding", in 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer), 2017, pp. 1--7. doi: 10.1109/icter.2017.8257822
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, and Buddhi Ayesha, "Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings", in 2017 Seventh International Conference on Innovative Computing Technology (INTECH), 2017, pp. 79--84. doi: 10.1109/intech.2017.8102426
N. H. N. D. de Silva, "SAFS3 Algorithm: Frequency Statistic and Semantic Similarity Based Semantic Classification Use Case", in Advances in ICT for Emerging Regions (ICTer), 2015 Fifteenth International Conference on, August. 2015, pp. 77--83. doi: 10.1109/ICTER.2015.7377670
N. H. N. D. de Silva, A. S. Perera, and M. K. D. T. Maldeniya, "Semi-Supervised Algorithm for Concept Ontology Based Word Set Expansion", in Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on, December. 2013, pp. 125--131. doi: 10.1109/ICTer.2013.6761166
E. L. Karannagoda, H. M. T. C. Herath, K. N. J. Fernando, M. W. I. D. Karunarathne, N. H. N. D. de Silva, and A. S. Perera, "Document Analysis Based Automatic Concept Map Generation for Enterprises", in Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on, December. 2013, pp. 154--159. doi: 10.1109/ICTer.2013.6761171
N. H. Nisansa Dilushan de Silva, Shahani Markus Weerawarana, and Amal Shehan Perera, "Enabling Effective Synoptic Assessment via Algorithmic Constitution of Review Panels", in Teaching, Assessment and Learning for Engineering (TALE), 2013 IEEE International Conference on, August. 2013, pp. 776--781. doi: 10.1109/TALE.2013.6654543
N. H. N. D. de Silva, C. S. N. J. Fernando, M. K. D. T. Maldeniya, D. N. C. Wijeratne, A. S. Perera, and B Goertzel, "SeMap-Mapping Dependency Relationships into Semantic Frame Relationships", in Engineering Research Unit Research Seminar, December. 2011.
Workshop Papers
Jayanath Senevirathna, Ayesh Vininda, Prasad Sandaruwan, Ridwan Shariffdeen, Sandareka Wickramanayake, and Nisansa de Silva, "FusionRepair: Iterative Multi-Line APR via Fusion", in IEEE/ACM International Workshop on Automated Program Repair (APR), 2025, pp. 27--34. doi: 10.1109/APR66717.2025.00009
Nethum Lamahewage, Nimantha Cooray, Ridwan Shariffdeen, Sandareka Wickramanayake, and Nisansa de Silva, "SCHOLIA-An XAI Framework for APR", in IEEE/ACM International Workshop on Automated Program Repair (APR), 2025, pp. 19--26. doi: 10.1109/APR66717.2025.00008
Menan Velayuthan, Nisansa De Silva, and Surangika Ranathunga, "Encoder-Aware Sequence-Level Knowledge Distillation for Low-Resource Neural Machine Translation", in Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025), 2025, pp. 161--170.
Menan Velayuthan, Dilith Jayakody, Nisansa de Silva, Aloka Fernando, and Surangika Ranathunga, "Back to the Stats: Rescuing Low Resource Neural Machine Translation with Statistical Methods", in Proceedings of the Ninth Conference on Machine Translation, 2024, pp. 901--907. doi: 10.18653/v1/2024.wmt-1.87
Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Viraj Gamage, Menuka Warushavithana, and Amal Shehan Perera, "Shift-of-Perspective Identification Within Legal Cases", in Proceedings of the 3rd Workshop on Automated Detection, Extraction and Analysis of Semantic Information in Legal Texts, 2019.
Viraj Gamage, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, and Thejan Rupasinghe, "Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning", in Proceedings of the 9th workshop on computational approaches to subjectivity, sentiment and social media analysis, 2018, pp. 260-265. doi: 10.18653/v1/W18-6238
Extended Abstracts
Kushan Hewapathirana, Nisansa de Silva, and C. D. Athuraliya, "Adapter-based Fine-tuning for PRIMERA", in 1st Applied Data Science \& Artificial Intelligence Symposium, April. 2025.
N. H. N. D. de Silva, S. M. Weerawarana, and A. S. Perera, "Automating the Composition and Scheduling Process for Synoptic Assessment Panels", in 9th SDC-SLAIHEE Higher Education Conference 2013, June. 2013.
White Papers
Yudhanjaya Wijeratne and Nisansa de Silva, "Sinhala Language Corpora and Stopwords from a Decade of Sri Lankan Facebook", arXiv preprint arXiv:2007.07884, 2020. doi: 10.2139/ssrn.3650976
Yudhanjaya Wijeratne, Nisansa de Silva, and Yashothara Shanmugarajah, "Natural Language Processing for Government: Problems and Potential", LIRNEasia, 2019. doi: 10.13140/RG.2.2.34297.31845
Preprints
Nevidu Jayatilleke and Nisansa de Silva, "Zero-shot OCR Accuracy of Low-Resourced Languages: A Comparative Analysis on Sinhala and Tamil", arXiv preprint arXiv:2507.18264, 2025
Kavindu Warnakulasuriya, Prabhash Dissanayake, Navindu De Silva, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Surangika Ranathunga, and Nisansa de Silva, "Evolution of Cooperation in LLM-Agent Societies: A Preliminary Study Using Different Punishment Strategies", arXiv preprint arXiv:2504.19487, 2025
Nisansa de Silva, "Survey on Publicly Available Sinhala Natural Language Processing Tools and Research", arXiv preprint arXiv:1906.02358, 2019. doi: 10.48550/ARXIV.1906.02358
Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, and Lianwen Jin, "Logic Rules Powered Knowledge Graph Embedding", arXiv preprint arXiv:1903.03772, 2019. doi: 10.48550/ARXIV.1903.03772
Nisansa de Silva, Danaja Maldeniya, and Chamilka Wijeratne, "Subject Specific Stream Classification Preprocessing Algorithm for Twitter Data Stream", arXiv preprint arXiv:1705.09995, 2017. doi: 10.48550/ARXIV.1705.09995
Nisansa de Silva, "Sinhala Text Classification: Observations from the Perspective of a Resource Poor Language", , 2015
