We are looking for an experienced data scientist to create a NER (Named Entity Recognition) model that can accurately tag names and affiliations in academic papers. The model should be trained on a large dataset of academic papers and should be able to tag names and affiliations with high precision. The model should be able to handle various formats of academic papers and should be scalable to process a large number of papers. Key skills required for this project include:
- Natural language processing (NLP)
- Machine learning
- Data preprocessing
- Text classification
- Python programming
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