Knowledge Extraction Task
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		A Knowledge Extraction Task is a semantic processing task that requires knowledge items from datasets.
- Example(s):
 - See: Template Filling (IE) Task.
 
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.