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S y n D i K A Te com prises a fam ily o f natural language understanding systems for automatically acquiring know l edge from real-w orld texts (e.g., information technology test reports, medical finding reports), and fo r transferring their content to formal representation structures which constitute a corresponding text know ledge base. We present a general system architecture w hich integrates requirem ents from the analysis o f single sentences, as w ell as those o f referentially linkeddblp:conf/riao/HahnR00 fatcat:f7coedcddbabjngfs4iwzegv5i