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Causal Inference of Script Knowledge
[article]
2020
arXiv
pre-print
When does a sequence of events define an everyday scenario and how can this knowledge be induced from text? Prior works in inducing such scripts have relied on, in one form or another, measures of correlation between instances of events in a corpus. We argue from both a conceptual and practical sense that a purely correlation-based approach is insufficient, and instead propose an approach to script induction based on the causal effect between events, formally defined via interventions. Through
arXiv:2004.01174v1
fatcat:rzkmeqbi5vbj3loe4kkqgnqloq