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Related Questions
- How do you create nuanced annotations to capture connotations and subtle implications of language?
- What techniques can be used to improve annotation quality and inter-rater agreement?
- How can you identify and account for contextual information, such as sarcasm and irony, in annotating data?
- What is the role of annotation in ensuring the model understands linguistic subtleties like figurative language, idioms, and jargon?
- What methods can be employed to avoid over- or under-representation of certain annotations or groups of annotations in the data?
- Can you provide examples of high-quality annotated datasets in language-related tasks and share what made them effective?
- What strategies exist to reduce the risk of implicit biases influencing the annotator's interpretation and affect the data's quality and usefulness?
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