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Related Questions
- What are the key differences in the architecture of ontology-based language models and traditional language models?
- Can ontology-based language models better capture the nuances of human communication, such as sarcasm and irony?
- How do ontology-based language models handle the complexities of figurative language, such as metaphors and similes?
- Can traditional language models learn to recognize idiomatic expressions and phrases through machine learning algorithms?
- What are the potential applications of ontology-based language models in natural language processing tasks, such as text classification and sentiment analysis?
- How do ontology-based language models compare to traditional language models in terms of their ability to understand the context of a given text?
- Can ontology-based language models be used to improve the accuracy of machine translation systems by capturing the nuances of language and cultural context?
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