Provided is a semantic disambiguation method of Chinese place names based on encyclopedia knowledge base and word vectors, comprising: generating a pre-training word vector model; generating a place name recognition model based on Bi-LSTM and CRF integration; performing place name recognition and word vector representation in a text where the place name to be disambiguated is located; obtaining sense name of the ambiguous place name and sense content thereof; performing place name recognition and word vector representation in sense content of the ambiguous place name; performing similarity calculation on the place name list word vector in the text where the ambiguous place name is located and the place name list word vector in the sense content of the ambiguous place name; performing sense frequency statistics of ambiguous place names; performing comprehensive evaluation of the geographic position which the ambiguous place name most possibly refers to. The above method can effectively solve the problems that the same place name may correspond to a plurality of geographic positions and the same position may have a plurality of description names in the position service, is suitable for the situation that the place names in text description are distributed discretely and sparsely under the historical background of the Internet+, and meets the urgent requirements for intelligent position services, holographic position maps and the like.
SEMANTIC DISAMBIGUATION METHOD OF CHINESE PLACE NAMES BASED ON ENCYCLOPEDIA KNOWLEDGE BASE AND WORD VECTORS