Texts are viewed as purposeful transactions whose interpretation requires inferences based on extra-linguistic as well as on linguistic information. Text processors are viewed as systems that model both a theory of text and a theory of information processing.
We address recent criticisms of evidential reasoning, an approach to the analysis of imprecise and uncertain information that is based on the Dempster-Shafer calculus of evidence.
In this paper we are concerned with the application of sensor-mediated programmable automation to material-handling, inspection, and assembly operations in batch-produced, discrete-part manufacturing.
In this paper, we address the problem, ``What makes an answer appropriate?’’ We do so by investigating indirect answers to questions in task-oriented dialogues.
