Word2vec-based remotely supervised non-taxonomic relation extraction method and system
A technology of non-categorical relationship and extraction method, which is applied in the field of word2vec-based far-supervised non-categorical relationship extraction, can solve the problem of low accuracy of non-categorical relationship, and achieve the effect of avoiding error accumulation and high accuracy
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[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0023] see figure 1 , this embodiment discloses a word2vec-based far-supervised non-categorical relationship extraction method, including:
[0024] S1. Crawling unstructured text data in the field of network vegetables from Internet encyclopedias and large-scale vegetable websites as corpus, performing preprocessing and data alignment on the corpus in turn to obtain pr...
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