ABSTRACT To establish the component techniques of the text generation for a natural language interface of FGCS, we have developed and evaluated an experimental system on the parallel inference machine. This experimental system generates Japanese text that justifies a given goal according to the belief contents of the system. KEY FEATURES
- Belief content consists of facts, rules and judgments for the state of affairs. Exchanging the contents of a belief database enables the system to make arguments in various domains.
- This system can generate not only direct grounds, but also refutations for the expected opposing arguments, together with examples that are indispensable to persuasive argument.
- By varying the argument strategies and criteria for sentence structure, we perform the text generation experiment and conduct research into the objective criteria for "natural" text.
![]() System Configuration |