Named Entity Recognition
Definition
Named Entity Recognition (NER) is a foundational task in natural language processing that identifies meaningful entities—such as people, locations, organizations, and time expressions—from unstructured text. It is a key technology for information extraction and knowledge graph construction.
Usage Example
Automatically identify entities such as "Beijing" (location) and "Huawei" (organization) from news text.
Related Terms
Related terminology
Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG): A technical framework that combines external knowledge retrieval with large language model generation to improve answer accuracy and timeliness.
Attention Mechanism
A technique that enables a model to dynamically attend to different parts of an input sequence by computing correlations between queries and keys/values to perform information weighting.
Word Embedding
Word embeddings map words to low-dimensional continuous vector spaces, placing semantically similar words closer together. Word2Vec and GloVe are classic embedding methods that laid the foundation for subsequent language models.