Entity Extraction
The process of identifying and categorizing key information elements (entities) from unstructured text, such as names, dates, amounts, and organizations.
Methods
NER models: Fine-tuned transformers for token classification. LLM prompting: Ask an LLM to extract entities in structured format. Rule-based: Regular expressions and pattern matching for well-defined formats (emails, phone numbers).
Applications
Document processing, knowledge graph construction, compliance monitoring, lead extraction from emails, medical record parsing, and financial document analysis.