BERT-PAGG: a Chinese relationship extraction model fusing PAGG and entity location information.

ABSTRACT: Relationship extraction is one of the important tasks of constructing knowledge graph. In recent years, many scholars have introduced external information other than entities into relationship extraction models, which perform better than traditional relationship extraction methods. However, they ignore the importance of the relative position between entities. Considering the relative position between entity pairs and the influence of sentence level information on the performance of relationship extraction model, this article proposes a BERT-PAGG relationship extraction model. The model introduces the location information of entities, and combines the local features extracted by PAGG module with the entity vector representation output by BERT. Specifically, BERT-PAGG integrates entity locat

SUBMITTER: Xu B 

PROVIDER: S-EPMC10403195 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature