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Related Questions
- How do entity-based attention models address the issue of word polysemy in natural language processing?
- Can you explain the concept of word polysemy and its impact on language understanding in entity-based attention models?
- What are some common techniques used to mitigate the effects of word polysemy in entity-based attention models?
- How do entity-based attention models handle the ambiguity of words with multiple meanings?
- What is the role of context in entity-based attention models in resolving word polysemy?
- Are there any specific algorithms or techniques that are used to handle word polysemy in entity-based attention models?
- Can you provide examples of how entity-based attention models deal with word polysemy in different domains, such as text classification or question answering?
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