Content management in the SYNDIKATE system - How technical documents are automatically transformed to text knowledge bases

被引:20
作者
Hahn, U [1 ]
Romacker, M [1 ]
机构
[1] Univ Freiburg, Text Knowledge Engn Lab, D-79085 Freiburg, Germany
关键词
natural language processing; text understanding; knowledge acquisition from texts;
D O I
10.1016/S0169-023X(00)00031-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
SYNDIKATE is a family of natural language understanding systems for automatically acquiring knowledge from real-world texts (e.g., information technology test reports, medical finding reports), and for transferring their content to formal representation structures which constitute a corresponding text knowledge base. We present a general 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 soundness and validity of the generated text representation structures. It is 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. (C) 2000 Published by Elsevier Science B.V. All rights reserved.
引用
收藏
页码:137 / 159
页数:23
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