ABSTRACT
SYNDIKATE comprises a family of text understanding systems for automatically acquiring knowledge from real-world texts, viz. information technology test reports and medical finding reports. Their content is transformed to formal representation structures which constitute corresponding text knowledge bases. SYNDIKATE's architecture integrates requirements from the analysis of single sentences, as well as those of referentially linked sentences forming cohesive texts. Besides centering-based discourse analysis mechanisms for pronominal, nominal and bridging anaphora, SYNDIKATE is supplied with a learning module for automatically bootstrapping its domain knowledge as text analysis proceeds.
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