METHOD FOR ASSIGNING SEMANTIC INFORMATION TO WORD THROUGH LEARNING USING TEXT CORPUS
    11.
    发明申请
    METHOD FOR ASSIGNING SEMANTIC INFORMATION TO WORD THROUGH LEARNING USING TEXT CORPUS 有权
    通过使用文字科学来学习语言信息的方法

    公开(公告)号:US20160371254A1

    公开(公告)日:2016-12-22

    申请号:US15176114

    申请日:2016-06-07

    Abstract: A method includes acquiring a first corpus, including first text of a first sentence including a first word and described in a natural language, and second text of a second sentence including a second word different in meaning from the first word, a second word distribution of the second word being similar to a first word distribution of the first word, acquiring a second corpus including third text of a third sentence, including a third word identical to the first word and/or the second word, a third word distribution of the third word being not similar to the first word distribution, based on an arrangement of a word string in the first corpus and the second corpus, assigning to the first word a first vector representing a meaning of the first word and assigning to the second word a second vector representing a meaning of the second word.

    Abstract translation: 一种方法,包括:获取第一语料库,包括包括第一单词并以自然语言描述的第一句子的第一文本,以及第二句子的第二文本,其包括与第一单词不同意义的第二单词,第二单词分布 所述第二词类似于所述第一单词的第一单词分布,获取包括第三句子的第三文本的第二语料库,包括与所述第一单词和/或所述第二单词相同的第三单词,所述第三单词分布 基于第一语料库和第二语料库中的单词串的排列,将第一单词与第一单词分布不相似,向第一单词分配表示第一单词的含义的第一向量,并将第二单词分配给第二单词 代表第二个词的含义的向量。

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