Elements of a Computational Model of Cooperative Response Generation
PENNSYLVANIA UNIV PHILADELPHIA DEPT OF COMPUTER AND INFORMATION SCIENCE
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If natural language question-answering NLQA systems are to be truly effective and useful, they must respond to queries cooperatively, recognizing and accommodating in their replies a questioners goals, plans, and needs. This paper concerns the design of cooperative response generation CRG systems, NLQA systems that are able to produce integrated cooperative responses. We propose two characteristics of a computational model of cooperative response generation. First, we argue that CRG systems should be able to explicitly reason about and choose among the different response options available to them in a given situation. Second, we suggest that some choices of response content motivate others--that through a process called reflection, respondents detect the need to explain, justify, clarify or otherwise augment information they have already decided to convey.
- Information Science