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Commonsense Causal Reasoning

"Commonsense Causal Reasoning is the process of capturing and understanding the causal dependencies amongst events and actions." Luo, Zhiyi, et al. "Commonsense causal reasoning between short texts." Fifteenth International Conference on the Principles of Knowledge Representation and Reasoning. 2016.

Papers

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Showing 1–10 of 13 papers

TitleStatusHype
CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models—0
COLD: Causal reasOning in cLosed Daily activitiesCode0
CLadder: Assessing Causal Reasoning in Language ModelsCode1
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference PerspectiveCode1
Knowledge-Augmented Language Models for Cause-Effect Relation ClassificationCode1
Commonsense Knowledge-Augmented Pretrained Language Models for Causal Reasoning Classification—0
HeadlineCause: A Dataset of News Headlines for Detecting CausalitiesCode1
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning ModelsCode0
BERTić -- The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian—0
BERTić - The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian—0
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