  Role-playing games (RPGs) have a considerable amount of text in video game
dialogues. Quite often this text is semi-annotated by the game developers. In
this paper, we extract a multilingual dataset of persuasive dialogue from
several RPGs. We show the viability of this data in building a persuasion
detection system using a natural language processing (NLP) model called BERT.
We believe that video games have a lot of unused potential as a datasource for
a variety of NLP tasks. The code and data described in this paper are available
on Zenodo.
