Knowledge Extraction Task

A Knowledge Extraction Task is a semantic processing task that requires knowledge items from datasets.

• Example(s):
  • Knowledge Extraction from Games.
• See: Template Filling (IE) Task.

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References

2017

• http://www.digra.org/cfp-aaai-workshop-on-knowledge-extraction-from-games/
  • QUOTE: Knowledge Extraction from Games (KEG) is a new workshop exploring questions of and approaches to the mechanical extraction of *knowledge* from games meant for humans — including but not limited to game rules, character graphics, environment maps, music and sound effects, high-level goals or heuristic strategies, transferrable skills, aesthetic standards and conventions, or abstracted models of games.

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