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    • 3. 发明授权
    • Boundary extracting system from a sentence
    • 边界提取系统从句子
    • US5479563A
    • 1995-12-26
    • US174629
    • 1993-12-28
    • Yukiko Yamaguchi
    • Yukiko Yamaguchi
    • G06F15/18G06F17/27G06N3/00G06N99/00G10L13/08G10L15/04G10L15/16G10L9/00
    • G10L15/05G10L15/16
    • The present invention extracts boundaries from a sentence with no need for linguistic knowledge or complicated grammatical rules. Upon extracting a clause/phrase boundary, words are classified according to part-of-speech numbers of words which form inputted sentence information. Then, an input pattern representing part-of-speech numbers of a target word is checked to determine whether a clause/phrase boundary exists before or after the target word; a plurality of words before and after the target words is then applied to a neural network. Among units in the output layer of the neural network, a unit having the output larger than a threshold is determined to refer to a clause/phrase boundary of the target word. Upon extracting a subject-predicate boundary, words are classified in word number, and an input pattern corresponding to a plurality of words are applied to the neural network. The neural network comprises output units for a subject and a predicate, and a boundary is extracted by an inputted pattern which changes the output of these units.
    • 本发明从不需要语言知识或复杂的语法规则的句子中提取边界。 在提取子句/短语边界时,根据形成输入的句子信息的单词的词性数字对词进行分类。 然后,检查表示目标字的部分语音号码的输入模式,以确定在目标词之前或之后是否存在子句/短语边界; 然后将目标词之前和之后的多个单词应用于神经网络。 在神经网络的输出层中的单元中,确定具有大于阈值的输出的单元,以引用目标词的子句/短语边界。 在提取主题谓词边界时,将词分类为字数,将与多个单词对应的输入模式应用于神经网络。 神经网络包括用于对象和谓词的输出单元,并且通过改变这些单元的输出的输入模式提取边界。