tailieunhanh - Báo cáo khoa học: "DESIGN OF A KNOWLEDGE-BASED REPORT GENERATOR"

Knowledge-Based Report Generation is a technique for automatically generating natural language reports from computer databases. It is so named because it applies knowledge-based expert systems software to the problem of text generation. The first application of the technique, a system for generating natural language stock reports from a daily stock quotes database, is partially implemented. Three fundamental principles of the technique are its use of domain-specific semantic and linguistic knowledge, its use of macro-level semantic and linguistic constructs (such as whole messages, a phrasal lexicon, and a sentence-combining grammar), and its production system approach to knowledge representation. . | DESIGN OF A KNOWLEDGE-BASED REPORT GENERATOR Karen Kukich University of Pittsburgh Bell Telephone Laboratories Murray Hill NJ 07974 ABSTRACT Knowledge-Based Report Generation is a technique for automatically generating natural language reports from computer databases. It is so named because it applies knowledge-based expert systems software to the problem of text generation. The first application of the technique a system for generating natural language stock reports from a daily stock quotes database is partially implemented. Three fundamental principles of the technique are its use of domain-specific semantic and linguistic knowledge its use of macro-level semantic and linguistic constructs such as whole messages a phrasal lexicon and a sentence-combining grammar and its production system approach to knowledge representation. I. WHAT IS KNOWLEDGE-BASED REPORT GENERATION A knowledge-based report generator is a computer program whose function is to generate natural language summaries from computer databases. For example knowledge-based report generators can be designed to generate daily stock market reports from a stock quotes database daily weather reports from a meteorological database weekly sales reports from corporate databases or quarterly economic reports from u. s. Commerce Department databases etc. A separate generator must be implemented for each domain of discourse because each knowledge-based report generator contains domain-specific knowledge which is used to infer interesting messages from the database and to express those messages in the sublanguage of the domain of discourse. The technique of knowledge-based report generation is generalizable across domains however and the actual text generation component of the report generator which comprises roughly one-quarter of the code is directly transportable and readily taiiorable. Knowledge-based report generation is a practical approach to text generation. It s three fundamental tenets are the following.

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