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摘要:<正>This paper presents a novel methodology for the representation of sentences by fuzzy semantics,which is applied to the measurement of synonymy.The novelty of this methodology lies in a new way of dealing with the semantics of words and their functions in a sentence.Through the concept of "information mass",a fuzzy semantic construct,a multi-dimensional information mass structure of a sentence is realized.The synonymy between sentences is then measured in terms of sentential information mass. We show how to measure the semantic closeness between sentences in order to cluster questions in an FAQ database and how to match a user’s question to the closest database record.Experiment is done with a database of FAQ concerning intellectual property (patents and copyrights).
会议名称:

2003 International Conference on Natural Language Processing and Knowledge Engineering

会议时间:

2003-10-26

会议地点:

中国北京

  • 专辑:

    信息科技

  • 专题:

    计算机软件及计算机应用

  • 分类号:

    TP391.1

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