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Related Questions
- How do large language models handle out-of-vocabulary words in text?
- What is the role of coreference resolution in disambiguating pronouns and nouns in text?
- Can you explain the concept of word sense induction and how it relates to ambiguity resolution?
- How do contextualized embeddings, such as BERT and RoBERTa, improve the resolution of ambiguities in text?
- What is the difference between supervised and unsupervised methods for resolving ambiguities in text?
- Can you discuss the impact of discourse structure on ambiguity resolution in text?
- How do machine learning models use attention mechanisms to focus on specific aspects of context when resolving ambiguities?
- What is the relationship between semantic role labeling and ambiguity resolution in text?
- How do models handle anaphora and cataphora in text, and what techniques are used to resolve these ambiguities?
- Can you explain the concept of discourse coherence and how it relates to ambiguity resolution in text?
- What is the role of lexical semantics in resolving ambiguities in text, and how do models learn to represent word meanings?
- How do models use coreference chains to resolve ambiguities in text, and what are the challenges associated with this approach?
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