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Related Questions
- How does pre-training a named entity recognition model on a large corpus of text help it to better handle ambiguous entity mentions?
- What are some common techniques used during pre-training to improve the model's ability to handle ambiguity in named entity recognition?
- Can you provide examples of pre-training objectives that can help a named entity recognition model to learn to recognize ambiguous entities more accurately?
- How does the quality of the pre-training data impact the model's ability to handle ambiguity in named entity recognition?
- Are there any specific pre-training tasks or techniques that can help to mitigate the issue of ambiguity in named entity recognition?
- Can you explain the concept of 'entity disambiguation' in the context of named entity recognition and how pre-training can help with it?
- How does pre-training affect the model's ability to recognize entities with multiple possible interpretations, such as homographs or homophones?
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