A Hybrid Reasoning Model for Indirect Answers
<|reference_start|>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.<|reference_end|>
@article{green1994a,
    title={A Hybrid Reasoning Model for Indirect Answers},
    author={Nancy Green (University of Delaware) and Sandra Carberry (University
  of Delaware and Visitor: IRCS, University of Pennsylvania)},
    journal={arXiv preprint arXiv:cmp-lg/9406014},
    year={1994},
    archivePrefix={arXiv},
    eprint={cmp-lg/9406014},
    primaryClass={cmp-lg cs.CL}
}