Entity Retrieval

Entity retrieval focuses on efficiently identifying relevant entities within large datasets, like knowledge graphs or document collections, in response to queries or information needs. Current research emphasizes improving retrieval accuracy and efficiency through techniques such as dense retrieval methods, leveraging language models to encode entity features, and incorporating entity-centric representations within document or passage embeddings. These advancements are crucial for improving various downstream applications, including question answering, knowledge graph alignment, and retrieval-augmented generation, ultimately leading to more accurate and efficient information access.