Named Entity Recognition (NER) (also known as entity identification, entity extraction, and entity retrieval) is a task finding chunks in unstructured texst and classidying them into predefined categories of entity names (such as persons, organizations, locations, medical codes, time expressions, etc). We will try to understand how to construct NER systems, how to evaluate them, and how deep learning and neural networks help to resolve such task on the example of
FLAIR.
Slides.