Binary Relation Extraction

Binary Relation Extraction is an important task in natural language processing aimed at automatically identifying and extracting binary relationships between entities from unstructured text. The goal of this task is to accurately capture specific types of relationships between entities by analyzing the syntactic structure and semantic information in the text, such as cause-effect, affiliation, interaction, etc. The application value of Binary Relation Extraction is extensive, as it can provide critical support for knowledge graph construction, information retrieval, intelligent question-answering systems, and more, enhancing the structuring and usability of data.