Semantic Relation

Semantic relation research focuses on identifying and representing the meaningful connections between words, concepts, and entities within and across texts, images, and other data modalities. Current research emphasizes developing robust methods for extracting and classifying these relations, often employing transformer-based language models, graph neural networks, and prototype learning algorithms to handle diverse data types and complex relationships. This work is crucial for advancing natural language processing, knowledge graph construction, and various applications such as information retrieval, question answering, and biomedical knowledge discovery, ultimately improving the ability of machines to understand and reason with information.