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Found 4 papers, 3 papers with code
CausalQA: A Benchmark for Causal Question Answering
At least 5% of questions submitted to search engines ask about cause-effect relationships in some way.
Causal Question Answering with Reinforcement Learning
We introduce an Actor-Critic-based agent which learns to search through the graph to answer causal questions.
Explaining $\mathcal{ELH}$ Concept Descriptions through Counterfactual Reasoning
Knowledge bases are widely used for information management, enabling high-impact applications such as web search, question answering, and natural language processing.
EvoLearner: Learning Description Logics with Evolutionary Algorithms
We contribute a novel initialization method for the initial population: starting from positive examples, we perform biased random walks and translate them to description logic concepts.
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