Papers with System 1 model

1 papers
System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning (2022.findings-emnlp)

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Challenge: Current NLP models require more than the ability to learn informative representations from data for logic tasks.
Approach: They propose an architecture that explicitly conducts neural logic reasoning on top of the representation learning models.
Outcome: The proposed architecture improves on the commonsense knowledge graph completion task on a commonsensible task with the two-system architecture.

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