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5 cards from this section. Quick, good the night before a test.
What does ambiguity in language refer to?
Think about words that can represent different ideas.
Give an example of sarcasm.
Consider how tone can alter meaning.
What is a key challenge of NLP related to understanding context?
Think about how multiple meanings complicate understanding.
True or False? Sarcasm is easily recognized by NLP systems.
Consider how human understanding differs from machine interpretation.
Analyze how contextual factors influence the interpretation of the phrase 'I'm fine'. Provide different scenarios leading to different meanings.
Consider how tone and previous interactions can shape understanding.
Discuss the importance of diverse training datasets in developing effective NLP models, particularly for underserved languages.
Reflect on the consequences of bias from inadequate data.
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