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

Validating Literary Theories Using Automatic Social Network Extraction

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…

Automatic Extraction of Metaphoric Analogies from Literary Texts: Task Formulation, Dataset Construction, and Evaluation

Extracting metaphors and analogies from free text requires high-level reasoning abilities such as abstraction and language understanding. Our study focuses on the extraction of the concepts that form metaphoric analogies…

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…

Extracting Social Networks from Literary Text with Word Embedding Tools

In this paper a social network is extracted from a literary text. The social network shows, how frequent the characters interact and how similar their social behavior is. Two types of similarity measures are used: the fi…