Knowledge Representation for Text Interpretation
Jan De Vuyst · Literary and Linguistic Computing · 1990
Interpretation of a text requires knowledge representation (KR) Techniques for KR, many of which were developed in artificial intelligence research, are central for natural language processing and for many areas in literary and linguistic computing The paper discusses why this is so, and what is involved in the application of KR techniques in the language domain The most important ‘classical’ KR techniques (logic, semantic nets, production rules, frames and scripts) are discussed briefly