What are the main challenges in word sense disambiguation?
An example of an AI chatbot conversation about challenges in word sense disambiguation.
What are the main challenges in word sense disambiguation?
The main challenges include ambiguity, context understanding, and the vast number of meanings for words.
Can you explain why context is so important?
Context helps determine the intended meaning of a word based on surrounding words and the overall situation.
What techniques are used to tackle these challenges?
Techniques include machine learning, semantic analysis, and using large corpora for training models.
Are there any real-world applications of word sense disambiguation?
Yes, applications include search engines, translation services, and sentiment analysis.
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