This dissertation presents the results of research on a planning formalism for a theory of natural-language generation that will support the generation of utterances that satisfy multiple goals.
We are only in the initial stages of our understanding of what Self-Aware Computer Systems means: what it means to be self-aware, what a self-aware system can do that other systems cannot do, and what are some of the immediate practical applications and challenge problems.
Jerry R. Hobbs, Douglas E. Appelt, & David Magerman
It is often assumed that when natural language processing meets the real world, the idea of aiming for complete and correct interpretations has to be abandoned.
Fernando C. N. Pereira, Douglas E. Appelt, & Paul Martin
This paper describes the design of a transportable natural language (NL) interface to databases and the constraints that transportability places on each components of such a system.
We describe an approach to abductive reasoning called weighted abduction, which uses inference weights to compare competing explanations for observed behavior. We present an algorithm for computing a weighted-abductive explanation, and sketch a model-theoretic semantics for weighted abduction.
