NLP for D&D
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.
Home ➤ About ➤ Team ➤
Mr. Akila Peiris
Machine Learning Engineering Lead at CML Insight
BSc. (Hons) Computer Science (USJ)
I am a software engineer turned machine learning engineer (lead) working at CML Insight on causal machine learning. I graduated from University of Sri Jayewardenepura, Sri Lanka majoring in Computer Science and currently reading for a Masters in Computer Science specializing in Data Science at University of Moratuwa, Sri Lanka. My current research interests are Natural Language Processing and Natural Language Generation.
Keywords: Natural Language Processing | Machine Learning / Deep Learning | DnD |
Publications
Theses: MSc Minor Component Research
Akila Peiris, "Dungeons \& Dragons Fantasy Adventure Generation", University of Moratuwa, 2024
Conference Papers
Akila Peiris and Nisansa de Silva, "SHADE: Semantic Hypernym Annotator for Domain-Specific Entities-Dungeons and Dragons Domain Use Case", in 2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), 2023, pp. 1--6. doi: 10.1109/ICIIS58898.2023.10253606
Akila Peiris and Nisansa de Silva, "Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons \& Dragons", in Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022, pp. 415--424.
Projects