ABSTRACT
A crucial issue faced by any natural language understander is connecting the input text to the understander's prior knowledge and goals. This cannot be done solely on the basis of the input text. It requires a model in which access to prior knowledge and goals is an integral part of the parsing process. Case-based parsing meets this requirement. This chapter provides an introduction to the theory of case-based parsing and describes current research aimed at implementing a model of case-based parsing in DMAP, the Direct Memory Access Parsing program.
