Method for extracting relations between entities from text based on self-supervision and clustering technologies
An adaptive clustering, entity technology, applied in the field of machine learning, can solve problems such as unsupervised, achieve good results, improve clustering purity, and prevent the effect of feature space
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[0049] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0050] Such as figure 1 As shown, the method for extracting the relationship between entities from text based on self-supervision and clustering technology proposed by the present invention includes three modules: context encoding module, clustering module and classification module.
[0051] 1. Context Encoding Module
[0052] The purpose of the context encoding module is to perform vector representations of two entities in a sentence. In the present invention, it is assumed that the entities in the known sentence have been labeled, and the present invention only focuses on the relationship between two entities. The relationship between a pair of entities must be associated with thei...
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