Text understanding for knowledge base generation in the SynDiKATe system

Abstract

SynDiKATe is a system for automatically acquiring knowledge from real-world texts and transferring it to formal representation structures which constitute a text knowledge base. We present a system architecture which integrates requirements from the analysis of single sentences, as well as those of referentially linked sentences forming cohesive texts. Properly accounting for text cohesion phenomena is a prerequisite for the completeness and validity of the generated text representation structures and, therefore, also crucial for any information system application making use of automatically generated text knowledge bases in a reliable way, e.g., by inferentially supported fact retrieval.