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Related Questions
- What role does coreference resolution play in maintaining coherence in language models?
- How can techniques like entity recognition and relation extraction improve a language model's understanding of contextual information?
- What is the impact of using Named Entity Recognition (NER) on a language model's ability to comprehend contextual information?
- Can you explain how discourse markers and other linguistic features can aid in maintaining coherence in language models?
- What is the relationship between coherence and coreference in language models, and how can it be improved?
- How can using contextualized word embeddings, such as BERT or RoBERTa, enhance a language model's comprehension of contextual information?
- What techniques can be used to improve a language model's ability to recognize and generate coherent text, such as using graph-based models or knowledge graph embeddings?
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