Entity Classification

Entity classification, a core task in natural language processing, aims to automatically assign semantic labels (e.g., person, location, organization) to textual mentions. Current research emphasizes improving accuracy by addressing biases in training data and leveraging advanced architectures like graph neural networks and large language models, often incorporating contextual information and spatial relationships within documents to enhance performance. This work is crucial for advancing applications such as information extraction, knowledge base construction, and document understanding, particularly in complex scenarios involving diverse document layouts and multilingual content.