In-Context Information Extraction (IE) Task

An In-Context Information Extraction (IE) Task is an in-context learning task that is a data-driven information extraction task.

• AKA: Prompt-based IE.
• Context:
  • It can range from being In-Context IE from Text to being In-Context IE from Images, and others.
  • It can range from being a Zero-Shot IE Task to being a Few-Shot IE Task.
  • ...
• Example(s):
  • In-Context IE from Medical Documents.
  • In-Context IE from Legal Documents.
  • ...
• Counter-Example(s):
  • Supervised IE.
• See: Information Extraction, In-Context Learning, Data-Driven Learning, Named Entity Recognition, Relation Extraction.

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References

2022

• (Agrawal et al., 2022) ⇒ Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, and David Sontag. (2022). “Large Language Models are Few-Shot Clinical Information Extractors.” In: Proceedings of the EMNLP-2022.

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