Paper: Augmenting A Database Knowledge Representation For Natural Language Generation

ACL ID P82-1029
Title Augmenting A Database Knowledge Representation For Natural Language Generation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1982
Authors

The knowledge representation is an important factor in natural language generation since it limits the semantic capabilities of the generation system. This paper identifies several information types in a knowledge representation that can be used to generate meaningful responses to questions about database structure. Creating such a knowledge representation, however, is a long and tedious process. A system is presented which uses the contents of the database to form part of this knowledge representation automatically. It employs three types of world knowledge axioms to ensure that the representation formed is meaningful and contains salient information. representation reflects both the database contents and the database designer's view of the world. One important class of questions involves...