entiteettimerkinnät
Entiteettimerkinnät, also known as entity tagging or named entity recognition (NER), is a subtask of information extraction that seeks to locate and classify named entities in text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, and more. The goal is to identify mentions of real-world objects and assign them a specific type.
This process typically involves identifying contiguous sequences of tokens in a text that represent a named
Entiteettimerkinnät is a foundational technology in many natural language processing (NLP) applications. It is crucial for