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Related Questions
- What are the key challenges in handling out-of-vocabulary terms in language models and how can semantic role labeling help address them?
- Can you explain the difference between lexical and semantic role labeling and how they can be applied to improve out-of-vocabulary term handling?
- How can I integrate semantic role labeling into my prompt engineering process to enhance the performance of my language model on out-of-vocabulary terms?
- What are some common techniques used in semantic role labeling for out-of-vocabulary term handling, and which one is most effective?
- How can semantic role labeling be used to improve the generalizability of language models to out-of-vocabulary terms?
- What is the relationship between semantic role labeling and word embeddings, and how can they be combined to improve out-of-vocabulary term handling?
- Can you provide an example of how semantic role labeling can be used to improve the interpretation of out-of-vocabulary terms in a specific domain, such as medical or legal text?
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