Validating Literary Theories Using Automatic Social Network Extraction

Automatic Extraction of Social Networks from Literary Text: A Case Study on Alice in Wonderland

Automatic Detection of Reuses and Citations in Literary Texts

For more than forty years now, modern theories of literature (Compagnon, 1979) insist on the role of paraphrases, rewritings, citations, reciprocal borrowings and mutual contributions of any kinds. The notions of interte…

Narrative Theory-Driven LLM Methods for Automatic Story Generation and Understanding: A Survey

Applications of narrative theories using large language models (LLMs) deliver promising methods in automatic story generation and understanding tasks. Our survey examines how natural language processing (NLP) research us…

Annotating Characters in Literary Corpora: A Scheme, the CHARLES Tool, and an Annotated Novel

Characters form the focus of various studies of literary works, including social network analysis, archetype induction, and plot comparison. The recent rise in the computational modelling of literary works has produced a…

An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis

This paper presents an approach to extract co-occurrence networks from literary texts. It is a deliberate decision not to aim for a fully automatic pipeline, as the literary research questions need to guide both the defi…