Information Extraction Strategy
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An Information Extraction Strategy is an information processing strategy that guides information extraction from data sources.
- AKA: IE Strategy, Data Extraction Strategy.
- Context:
- It can typically define Information Extraction Methods.
- It can typically target Information Extraction Types.
- It can typically handle Information Extraction Source Formats.
- It can typically specify Information Extraction Rules.
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- It can often optimize Information Extraction Quality.
- It can often balance Information Extraction Resource Constraints.
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- It can range from being a Simple Information Extraction Strategy to being a Complex Information Extraction Strategy, depending on its information extraction sophistication.
- It can range from being a Rule-Based Information Extraction Strategy to being a Learning-Based Information Extraction Strategy, depending on its information extraction approach.
- It can range from being a Shallow Information Extraction Strategy to being a Deep Information Extraction Strategy, depending on its information extraction analysis depth.
- It can range from being a Fast Information Extraction Strategy to being an Accurate Information Extraction Strategy, depending on its information extraction quality focus.
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- Example(s):
- Counter-Example(s):
- Data Generation, which creates rather than extracts.
- Data Storage, which preserves rather than extracts.
- See: Information Extraction Task, Information Extraction Algorithm, Data Processing, Text Mining, Pattern Recognition, Hybrid Approach Strategy, LLM Prompting Strategy, Performance Degradation Issue.