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Related Questions
- What are the common techniques used to disambiguate word senses in machine learning models?
- How do machine learning models handle polysemy and homograph issues?
- What is the role of contextual information in disambiguating word senses?
- Can you explain the concept of sense embeddings and how they are used in word sense disambiguation?
- What are some challenges faced by machine learning models in disambiguating word senses?
- How do machine learning models use semantic roles and dependency parsing to disambiguate word senses?
- What is the impact of word sense disambiguation on downstream NLP tasks such as text classification and sentiment analysis?
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