If we are to understand stories, we must understand characters: characters are central to
every narrative and drive the action forward. Critically, many stories (especially cultural …

Automatic narrative text analysis is gaining traction as artificial intelligence-based
computational linguistic tools such as named entity recognition systems and natural …

Motifs are distinctive recurring elements found in folklore that have significance as
communicative devices in news, literature, press releases, and propaganda. Motifs …

The Novelties corpus is a collection of novels (and parts of novels) annotated for Alias
Resolution, among other tasks. This document describes the guidelines applied during the …

Identifying the characters from free-form text and understanding the roles and relationships
between them is an evolving area of research. They have a wide range of applications, from …

This thesis describes experiments on enhancing machine-learning based detection of
literary character types in German-language dramatic texts by using coreference …

The Novelties corpus is a collection of novels (and parts of novels) annotated for Alias
Resolution, among other tasks. This document describes the guidelines applied during the …

A character network represents characters as vertices in a graph, and their relationships as
edges between them. In the case of literary works, they model a whole narrative using a …

Originating in mythological research, the Hylistic theory [1] introduces hylemes as a basic
plot unit, containing actions, states, or background information derived from a source. These …

To understand how people communicate, we must understand how they leverage shared
stories and all the knowledge, information, and associations contained within those stories. I …