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Related Questions
- What techniques can be used to improve NER in documents with inconsistent authorship styles?
- How can machine learning models be trained to handle varying levels of source credibility in NER tasks?
- What are some common challenges in applying NER to documents with multiple authors and how can they be addressed?
- Can you explain the impact of author bias on NER performance and how to mitigate it?
- What role does domain knowledge play in improving NER accuracy for documents from different sources and authors?
- How can the use of knowledge graphs and ontologies enhance NER in documents with varying authorship and credibility?
- What are some evaluation metrics that can be used to measure the performance of NER models on documents with multiple authors and sources?
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