Editing logically complex discourse meanings
Rodger Kibble, Richard Power, Kees van Deemter · 2005
WYSIWYM (What You See Is What You Meant) is a new methodology for editing knowledge representations by interacting with a generated NL feedback text which presents both the knowledge already defined and the options for extending and modifying it. This paper concerns novel problems that arise when this methodology is extended to deal with certain familiar and supposedly well-understood semantic phenomena. The basics of WYSIWYM editing are briefly explained, followed by discussion of the problems to do with coreference and quantification and some partial solutions, including an experimental DRT-based prototype. Then we turn to more difficult problems in the area of quantification and sketch some directions in which solutions may be found. Keywords: knowledge representation, natural language generation, underspecification 1 Introduction Many applications of Artificial Intelligence require editing of information expressed in a knowledge representation formalism of some sort. Ex...