Natural Language Generation for Legal Expert System and Visualization of Generation Process
作者： Takashi Miyata , , Yuji Matsumoto
DOI: 10.20965/JACIII.1998.P0026
关键词: Question answering 、 Logical form 、 Grammar 、 Semantics 、 Natural language generation 、 Computer science 、 Artificial intelligence 、 Head-driven phrase structure grammar 、 Natural language processing 、 Legal expert system 、 Programming language 、 Natural language user interface
摘要: An HPSG-based grammar and a sentence generation system for small set of Japanese in legal expert domain are constructed. The adopts its own general semantic into which domainspeci c logical form is converted. This separation between domain-speci semantics linguistic one gives exibility to both the task processing generation. We also propose visualization shows process tabular operates as graphical user interface debugging.
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