Paper: A Hybrid Reasoning Model For Indirect Answers

ACL ID P94-1009
Title A Hybrid Reasoning Model For Indirect Answers
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1994

This paper presents our implemented computa- tional model for interpreting and generating in- direct answers to Yes-No questions. Its main fea- tures are 1) a discourse-plan-based approach to implicature, 2) a reversible architecture for gen- eration and interpretation, 3) a hybrid reasoning model that employs both plan inference and log- ical inference, and 4) use of stimulus conditions to model a speaker's motivation for providing ap- propriate, unrequested information. The model handles a wider range of types of indirect answers than previous computational models and has sev- eral significant advantages.