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Related Questions
- What are the potential limitations of using ontology-based language models in domains with rapidly evolving knowledge or concepts?
- How can ontology-based language models be adapted to handle ambiguity or uncertainty in domain-specific terminology?
- What are the potential challenges of integrating ontology-based language models with other AI systems or tools in complex applications?
- How can ontology-based language models be improved to handle out-of-vocabulary words or concepts in certain domains?
- What are the potential limitations of using ontology-based language models in domains with high levels of noise or incomplete data?
- How can ontology-based language models be designed to handle multi-modal or multimedia data in certain applications?
- What are the potential challenges of evaluating the performance and effectiveness of ontology-based language models in certain domains or applications?
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