The invention relates to a representation learning method based on entity association constraints, and belongs to the technical field of natural language processing and knowledge mapping. The invention comprises: making an annotation and performing an associated division on the description text of the entity to obtain a strong association entity set and a weak association entity set of the entity,fusing the association as an auxiliary loss term into the translation-based representation learning method, specifically obtaining the embedded representation of the entity and relationship by the sample negative sampling and model training, that is, respectively embedding the header entity h as well as the tail entity t in the knowledge map and the relationship r between the head entity and thetail entity into the vector h, vector t and vector r. The method provided by the invention is superior to the translation-based and text-based model-based representation learning method in reasoning effect.
Representation learning method based on entity association constraints