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 chapter
Article in proceedings
Peer-review
Open access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
In connection with the 8th International Conference on Natural Language ProcessingOriginal language
EnglishPublication milestones
- Published - 2013
Publication status
Published - 2013
Host publication title
GAMNLP 12. Proceedings of the first Workshop on Games and NLP, JapTAL 2012. Abstract
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.
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.
Access to documents
Submitted manuscript, 210.48 KB
Related Event
Title
CfP: 1st Workshop on Games and Natural Language Processing: http://www.digra.org/cfp-1st-workshop-on-games-and-natural-language-processing-gamnlp-12/
Event type
WorkshopDate
23/10/2012 - 23/10/2012Location
KanazawaJapan