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.
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DnD
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Publications
Theses: MSc Minor Component Research
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
Conference Papers
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
Gayashan Weerasundara and Nisansa de Silva, "Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domain", in Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023, pp. 1225--1233.
Aravinth Sivaganeshan and Nisansa De Silva, "Fine Tuning Named Entity Extraction Models for the Fantasy Domain", in 2023 Moratuwa Engineering Research Conference (MERCon), 2023, pp. 346--351. doi: 10.1109/MERCon60487.2023.10355501
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.