A Hybrid Reasoning Model for Indirect Answers
| dc.creator | Green, Nancy | |
| dc.creator | Carberry, Sandra | |
| dc.date | 1994-06-07 | |
| dc.date.accessioned | 2026-07-07T09:09:20Z | |
| dc.date.available | 2026-07-07T09:09:20Z | |
| dc.description | 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. | |
| dc.description | To appear in Proc. of ACL-94. 8 pages, uuencoded compressed Postscript file; extract with Unix uudecode and uncompress. Contact Author for latex version | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9406014 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9406014 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/150998 | |
| dc.subject | Computation and Language | |
| dc.title | A Hybrid Reasoning Model for Indirect Answers | |
| dc.type | text |