A Lightweight Story-Comprehension Approach to Game Dialogue

Robert P. van Leeuwen, Yun-Gyung Cheong, Mark Jason Nelson

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


In this paper we describe Answery, a rule-based system that
allows authors to specify game characters' background stories in natural
language. The system parses these background stories, applies transfor-
mation rules to turn them into semantic content, and generates dialogue
during gameplay by posing it as a question-answering problem. By the
means of simple categorization combined with rule inference engine, our
system can generate answers eciently. Our initial pilot study shows that
this approach is promising.
Original languageEnglish
Title of host publicationGAMNLP 12. Proceedings of the first Workshop on Games and NLP, JapTAL 2012. : In connection with the 8th International Conference on Natural Language Processing
Number of pages7
Publication date2013
Publication statusPublished - 2013
EventCfP: 1st Workshop on Games and Natural Language Processing: http://www.digra.org/cfp-1st-workshop-on-games-and-natural-language-processing-gamnlp-12/ - Kanazawa, Japan
Duration: 23 Oct 201223 Oct 2012


WorkshopCfP: 1st Workshop on Games and Natural Language Processing
Internet address


  • story
  • comprehension
  • dialogue


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