Converting Epic

Research on "converting epics" encompasses diverse applications, primarily focusing on efficiently transforming narrative text into structured representations like pseudocode or ontologies. Current efforts leverage transformer-based models and evolutionary algorithms to automate this process, improving cost-effectiveness and speed compared to manual methods. This work has implications for software development (automating code generation from user stories) and digital humanities (creating structured knowledge graphs from literary epics), enabling more efficient analysis and knowledge extraction from large textual datasets.