Information Extraction Strategy

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.
  • ...
  • It can often optimize Information Extraction Quality.
  • It can often balance Information Extraction Resource Constraints.
  • ...
  • 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.
  • ...
• Example(s):
  • Pattern-Based Information Extractions.
  • Machine Learning Information Extractions.
  • Template-Based Information Extractions.
  • Ontology-Based Information Extractions.
  • ...
• 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.

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