| 2026 | ICAART | Adapter-Based Multi-Document Summarisation: Opinion Summarisation Use Case. | Kushan Hewapathirana, Nisansa de Silva, C. D. Athuraliya |
| 2026 | LREC | SiDiaC-v.2.0: Sinhala Diachronic Corpus Version 2.0. | Nevidu Jayatilleke, Nisansa de Silva, Uthpala Nimanthi, Gagani Kulathilaka, Azra Safrullah, Johan Sofalas |
| 2026 | MSR | JavaBackports: A Dataset for Benchmarking Automated Backporting in Java. | Kaushal Kahapola, Sharada Galappaththi, Dinith Ranasinghe, Ridwan Shariffdeen, Nisansa de Silva, Srinath Perera, Sandareka Wickramanayake |
| 2026 | WorldCIST | From Monolith to Microservices: A Comparative Evaluation of Decomposition Frameworks. | Mineth Weerasinghe, Himindu Kularathne, Methmini Madhushika, Danuka Lakshan, Nisansa de Silva, Adeesha Wijayasiri, Srinath Perera |
| 2025 | COLING | Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches. | Yomal De Mel, Kasun Wickramasinghe, Nisansa de Silva, Surangika Ranathunga |
| 2025 | EMNLP | Improving the Quality of Web-mined Parallel Corpora of Low-Resource Languages using Debiasing Heuristics. | Aloka Fernando, Nisansa de Silva, Menan Velayuthan, Charitha Rathnayake, Surangika Ranathunga |
| 2025 | ICAART | Automatic Analysis of App Reviews Using LLMs. | Sadeep Gunathilaka, Nisansa de Silva |
| 2025 | ICCCI | DESS: DeBERTa Enhanced Syntactic-Semantic Aspect Sentiment Triplet Extraction. | Vishal Thenuwara, Nisansa de Silva |
| 2025 | PACLIC | Domain Adaptation for Multi-document Summarisation: A Case Study in the Medical Research Domain. | Kushan Hewapathirana, Nisansa de Silva, C. D. Athuralya, Piumi Kandanaarachchi |
| 2025 | PACLIC | SiDiaC: Sinhala Diachronic Corpus. | Nevidu Jayatilleke, Nisansa de Silva |
| 2025 | PACLIC | Fine-tuning an LLM to Generate Lore Coherent Encounters for Dungeons and Dragons. | Aravinth Sivaganeshan, Nisansa de Silva, Akila Peiris |
| 2025 | PACLIC | ScheduleMe: Multi-Agent Calendar Assistant. | Oshadha Wijerathne, Amandi Nimasha, Dushan Fernando, Nisansa de Silva, Srinath Perera |
| 2025 | RANLP | Zero-shot OCR Accuracy of Low-Resourced Languages: A Comparative Analysis on Sinhala and Tamil. | Nevidu Jayatilleke, Nisansa de Silva |
| 2024 | ACL | Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research. | Surangika Ranathunga, Nisansa de Silva, Dilith Jayakody, Aloka Fernando |
| 2024 | EACL | Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora. | Surangika Ranathunga, Nisansa de Silva, Menan Velayuthan, Aloka Fernando, Charitha Rathnayake |
| 2024 | ICAART | A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D&D Domain. | Gayashan Weerasundara, Nisansa de Silva |
| 2024 | ICCCI | M2DS: Multilingual Dataset for Multi-document Summarisation. | Kushan Hewapathirana, Nisansa de Silva, C. D. Athuraliya |
| 2024 | ICCCI | Abstract Generation with Hybrid Model Supported by Relevance Matrix. | Dushan Kumarasinghe, Nisansa de Silva |
| 2024 | PACLIC | Enhanced Aspect-Based Sentiment Analysis with Integrated Category Extraction for Instruct-DeBERTa. | Dineth Jayakody, Koshila Isuranda, A V. A Malkith, Nisansa de Silva, Sachintha Rajith Ponnamperuma, G. G. N. Sandamali, Kalupahana Liyanage Kushan Sudheera, Kashnika Gimhani Sarathchandra |
| 2023 | PACLIC | Sinhala-English Word Embedding Alignment: Introducing Datasets and Benchmark for a Low Resource Language. | Kasun Wickramasinghe, Nisansa de Silva |
| 2023 | RANLP | Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domain. | Gayashan Weerasundara, Nisansa de Silva |
| 2022 | IJCNLP | Some Languages are More Equal than Others: Probing Deeper into the Linguistic Disparity in the NLP World. | Surangika Ranathunga, Nisansa de Silva |
| 2022 | PACLIC | Learning Sentence Embeddings In The Legal Domain with Low Resource Settings. | Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Shehan Perera, Madhavi Perera |
| 2022 | PACLIC | Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragons. | Akila Peiris, Nisansa de Silva |
| 2022 | PACLIC | Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages. | Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva, Yudhanjaya Wijeratne |
| 2021 | DEXA | Sigmalaw PBSA - A Deep Learning Model for Aspect-Based Sentiment Analysis for the Legal Domain. | Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka |
| 2021 | EACL | Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks. | Nisansa de Silva, Dejing Dou |
| 2021 | IIWAS | Identifying Legal Party Members from Legal Opinion Documents using Natural Language Processing. | Melonie de Almeida, Chamodi Samarawickrama, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera |
| 2020 | COLING | Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization. | Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li |
| 2020 | PACLIC | Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting. | Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana |
| 2019 | DEXA | Semantic Oppositeness Embedding Using an Autoencoder-Based Learning Model. | Nisansa de Silva, Dejing Dou |
| 2019 | ICAIL | Shift-of-Perspective Identification within Legal Cases. | Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Viraj Salaka Gamage, Menuka Warushavithana, Amal Shehan Perera |
| 2019 | IRI | An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering. | Sabin Kafle, Nisansa de Silva, Dejing Dou |