Robust methods in analysis of natural language data
Periodicals（2002）
摘要
The automated analysis of natural language data has become a central issue in the design of intelligent information systems. Processing unconstrained natural language data is still considered as an AI-hard task. However, various analysis techniques have been proposed to address specific aspects of natural language. In particular, recent interest has been focused on providing approximate analysis techniques, assuming that when perfect analysis is not possible, partial results may be still very useful.
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关键词
intelligent information system,natural language data,central issue,partial result,various analysis technique,robust method,ai-hard task,natural language,perfect analysis,approximate analysis technique,automated analysis
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