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- Read [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://arxiv.org/abs/1606.05250)
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- Read [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://arxiv.org/abs/1606.05250)
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- Read [Know What You Don't Know: Unanswerable Questions for SQuAD](https://arxiv.org/abs/1806.03822)
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- Read [Know What You Don't Know: Unanswerable Questions for SQuAD](https://arxiv.org/abs/1806.03822)
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Week 2 and 3: Web Application
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Output:
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- Analyze sql schema of Prodigy annotations
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- Short report
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- Find out who annotated what.
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- Make a web application that displays results.
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- Extend the application to analyze more Prodigy instances (for both question and answer annotations)
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- Improve the process of annotation.
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Output: Web application (in Node.js or Python) and Dockerfile
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Week 2-4 The System
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Week 4-7 The model
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Select and train a working question answering system
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Select and train a working question answering system
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Output:
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Output:
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- a deployment script with comments for a selected question answering system
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- a deployment script with comments for a selected question answering system
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- a working training recipe (can use English data), a script with comments or Jupyter Notebook
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Week 5-7 The Model
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Take a working training recipe (can use English data), a script with comments or Jupyter Notebook
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Output:
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- a trained model
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- a trained model
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- evaluation of the model (if possible)
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- evaluation of the model (if possible)
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