SEMANTIC SIMILARITY-BASED ENTITY RELATION EXTRACTION METHOD AND APPARATUS, DEVICE AND MEDIUM

摘要

A semantic similarity-based entity relation extraction method and apparatus, a device and a medium, relating to the field of artificial intelligence. The method comprises: obtaining annotated corpora and unannotated corpora, and storing each annotated corpus in a seed set (S201); for each annotated corpus in the seed set, on the basis of a preset feature construction mode, constructing features for each annotated corpus, and obtaining relation features of the annotated corpora (S202); inputting the unannotated corpora, the annotated corpora, and the relation features of the annotated corpora into a preset similarity evaluation model (S203); and on the basis of the preset similarity evaluation model and the relation features, evaluating the unannotated corpora, obtaining an evaluation result, then determining an entity relation of the unannotated corpora on the basis of the evaluation result (S204). By means of a semi-supervised method, rapid entity relation extraction may be performed in respect of the unannotated corpora, improving entity relation extraction accuracy and efficiency.