Joint Entity and Relation Extraction

Joint Entity and Relation Extraction is a subtask in natural language processing that aims to extract entity mentions and their semantic relationships from unstructured text using a single model. The goal of this task is to achieve efficient and accurate information extraction to support applications such as knowledge graph construction, information retrieval, and question answering systems, thereby enhancing the understanding and utilization efficiency of textual content.