Multi-Labeled Relation Extraction

Multi-Labeled Relation Extraction is a crucial task in the field of natural language processing, aimed at identifying and extracting complex relationships between multiple entities from unstructured text. This task achieves multi-dimensional parsing of textual information by labeling each relational instance with multiple tags, thereby enhancing the accuracy and comprehensiveness of information extraction. Its application value lies in supporting advanced scenarios such as knowledge graph construction, intelligent question-answering systems, and semantic search, providing deeper data insights and decision support for enterprises and individuals.