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4 cards from this section. Quick, good the night before a test.
Define Named Entity Recognition in your own words.
Break down what it means to recognize names in text.
What does context mean in relation to NER?
Think about how similar words can have different meanings based on their usage.
What does NER stand for?
Remember the key components of text analysis.
True or False: NER is only concerned with English language inputs.
Consider the global usage of language technology.
Propose a solution to improve NER in handling multilingual inputs better.
Focus on data diversity!
Evaluate a scenario in which incorrect named entity recognition occurs and discuss the consequences.
Think about user interactions in technology.
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