What is word sense disambiguation?
An example of an AI chatbot conversation about word sense disambiguation in natural language processing.
What is word sense disambiguation?
Word sense disambiguation (WSD) is the process of determining which meaning of a word is used in a given context.
Can you give me an example of word sense disambiguation?
Sure! For instance, the word 'bank' can mean a financial institution or the side of a river. WSD helps identify which meaning fits the context.
Why is word sense disambiguation important in AI?
It's crucial for improving the accuracy of natural language processing tasks, like translation and sentiment analysis.
What techniques are used for word sense disambiguation?
Common techniques include supervised learning, unsupervised learning, and knowledge-based methods.
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