A Tool for Extension and Restructuring Natural Language Question Answering Domains

Authors:
Boris Galitsky
Affiliations:
-
Venue:
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Year:
2002

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Abstract

In this report, we present the system that allows various forms of knowledge exchange for users of the natural language question answering system. The tool is also capable of performing the domain restructuring by domain experts to adjust it to a particular audience of customers. The tool is implemented for financial and legal advisors, where the information is extremely dynamic by nature and requires fast correction and update in natural language. Knowledge management takes advantage of the technique of semantic headers, which is applied to represent the poorly structured and logically complex data in the form of textual answers. Question answering is performed by matching the semantic representation of a query with the ones of the answers. The issues of domain extension via understanding of natural language definitions of new entities and new objects are addressed.