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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does NER stand for?
💡 Hint: Think about the importance of identifying names in texts.
Question 2
Easy
What types of entities does NER identify?
💡 Hint: Consider common categories of named entities.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does NER primarily help computers to do?
💡 Hint: Think about what you learned about entity categorization.
Question 2
True or False: NER can correctly identify different meanings of ambiguous entities.
💡 Hint: Remember the challenges discussed in our session.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Consider a piece of text that includes various named entities such as 'Apple', 'Paris', and 'Michael Jordan'. Discuss how NER would approach this text, considering potential ambiguities.
💡 Hint: Context within sentences can provide clues for correct identification.
Question 2
Propose a method for improving NER accuracy in a multilingual dataset containing entities across different languages.
💡 Hint: Address the importance of training data quality and diversity.
Challenge and get performance evaluation