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Related Questions
- What are some common challenges in disambiguating words in context, and how do language models address them?
- How do language models handle homographs and homophones?
- Can you explain the role of context in disambiguating words, and how language models incorporate context into their processing?
- What are some techniques used by language models to disambiguate words in context, such as syntax, semantics, and pragmatics?
- How do language models handle polysemy, and what are some strategies for resolving ambiguity in polysemous words?
- Can you discuss the trade-offs between using more information (e.g., topic modeling, co-occurrence statistics) versus simpler methods (e.g., word frequency) to resolve word ambiguity?
- How do language models combine multiple sources of information, such as part-of-speech tags, named entities, and sentiment analysis, to disambiguate words in context?
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