Knowledge and natural language processing
Communications of the ACM
Automatically Building a Knowledge Base Through Natural Language Text Analysis
Automatically Building a Knowledge Base Through Natural Language Text Analysis
Generation and Evaluation of Indexes for Chemistry Articles
Journal of Intelligent Information Systems
An algorithm for conjunct identification in a natural language processing system
ACM-SE 30 Proceedings of the 30th annual Southeast regional conference
An automated system that assists in the generation of document indexes
Natural Language Engineering
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This paper describes mechanisms for automatically building an initial set of knowledge base objects by processing natural language text in a restricted domain. A separate component assigns syntactic and domain-specific semantic tags to each of the words in the text. The syntactic and semantic tags are used to generate names of objects to be added to specific semantic classes in the knowledge base. An algorithm to ensure that the knowledge base objects created are not redundant is specified. The definition and organization of metaknowledge structures is also discussed. To ensure that the name generation and knowledge management techniques are domain-independent, any domain-specific information is isolated in a knowledge base definition file.