What are some examples of Named Entity Recognition in NLP?
An example of an AI chatbot conversation about Named Entity Recognition in NLP.
What are some examples of Named Entity Recognition in NLP?
Named Entity Recognition (NER) identifies and classifies key entities in text. Examples include names, organizations, and locations.
Can you give me a specific example of NER in action?
Sure! In the sentence 'Apple Inc. was founded in Cupertino, California,' NER would identify 'Apple Inc.' as an organization and 'Cupertino, California' as a location.
How does NER work in different languages?
NER can be language-specific, using different models and training data for each language to accurately identify entities.
What are the challenges faced in NER?
Challenges include ambiguity in names, variations in entity formats, and the need for extensive training data.
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