SYNDIKATE-generating text knowledge bases from natural language texts

Author

Hahn, Udo ; Romacker, Martin

Author_Institution

Text Knowledge Eng. Lab. Group, Freiburg Univ., Germany

Volume

5

fYear

1999

fDate

1999

Firstpage

918

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

Keywords

computational linguistics; inference mechanisms; knowledge acquisition; natural languages; text analysis; SYNDIKATE; automatic knowledge acquisition; automatically generated text knowledge bases; cohesive texts; formal representation structures; inferentially supported fact retrieval; information system application; natural language texts; real-world texts; referentially linked sentences; system architecture; text cohesion phenomena; text knowledge base; text knowledge base generation; text representation structures; Assembly systems; Content based retrieval; Content management; Data mining; Filters; Information retrieval; Knowledge acquisition; Knowledge engineering; Management information systems; Natural languages;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.815676

Filename

815676