Anrilised

Anrilised is a neologism used in discussions of narrative information processing to describe transforming unstructured narrative text into a formal, machine-readable representation that highlights events, agents, and causal relationships. The goal is to support computational analysis, such as cross-text comparison and the creation of queryable knowledge graphs from literary or historical sources.

Origin and usage: The term appears in online discussions and early digital humanities writings around the 2010s. It is not a standardized methodology and has multiple interpretations; some emphasize event-centric encoding, others focus on graph-based representations. Variants include anrilised, anrilisation, and anrilise.

Methodology: A typical pipeline may include preprocessing, event extraction and entity recognition, role labeling for agents and goals, relation mapping to encode interactions and chronology, and graph construction. Many proposals advocate human oversight to resolve ambiguities and ensure interpretive fidelity.

Applications: Anrilised representations can support literary analysis, archival organization, and semantic search in digital libraries by enabling structural queries about plots, relations, and timelines.

Status: Anrilised remains a niche concept with no universal standard. Critics warn that automated extraction may oversimplify narrative nuance, underscoring the importance of domain expertise in interpretation.