PersonaBank: A Corpus of Personal Narratives and Their Story Intention Graphs

TL;DR

PersonaBank is a new annotated corpus of 108 personal stories with detailed story intention graphs, enabling advanced story analysis and retelling applications in natural language processing.

Contribution

The paper introduces PersonaBank, a novel corpus of personal narratives annotated with Story Intention Graphs, expanding the application of deep story representations to personal stories.

Findings

Successfully annotated 108 personal stories with Story Intention Graphs

Demonstrated potential applications in story retelling and content planning

Addressed challenges in adapting annotation tools to personal narratives

Abstract

We present a new corpus, PersonaBank, consisting of 108 personal stories from weblogs that have been annotated with their Story Intention Graphs, a deep representation of the fabula of a story. We describe the topics of the stories and the basis of the Story Intention Graph representation, as well as the process of annotating the stories to produce the Story Intention Graphs and the challenges of adapting the tool to this new personal narrative domain We also discuss how the corpus can be used in applications that retell the story using different styles of tellings, co-tellings, or as a content planner.