A Hybrid Reasoning Model for Indirect Answers

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A Hybrid Reasoning Model for Indirect Answers
This paper presents our implemented computational model for interpreting and generating indirect answers to Yes-No questions. Its main features are 1) a discourse-plan-based approach to implicature, 2) a reversible architecture for generation and interpretation, 3) a hybrid reasoning model that employs both plan inference and logical inference, and 4) use of stimulus conditions to model a speaker's motivation for providing appropriate, unrequested information. The model handles a wider range of types of indirect answers than previous computational models and has several significant advantages.
Nancy Green, Sandra Carberry
Added 02 Nov 2010
Updated 02 Nov 2010
Type Conference
Year 1994
Where ACL
Authors Nancy Green, Sandra Carberry
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