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Understanding Named Entity Recognition by olivia523 is a document available to read on EtoBox.

What is Understanding Named Entity Recognition about?

Named-entity recognition (NER) is a task that locates and classifies named entities like person names, organizations, locations, etc. in text. State-of-the-art NER systems for English perform near-human level, with the best system at MUC-7 scoring 93.39% F-measure. NER involves detecting entity names and classifying them by type, and can be evaluated using precision, recall, and F1 scores based on exact token matches between predictions and annotations. Current challenges include developing NER systems that

Author

olivia523

Language

EN