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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

Showing 113 of 13 papers

TitleStatusHype
HeadlineCause: A Dataset of News Headlines for Detecting CausalitiesCode1
CLadder: Assessing Causal Reasoning in Language ModelsCode1
Knowledge-Augmented Language Models for Cause-Effect Relation ClassificationCode1
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference PerspectiveCode1
BERTić -- The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian0
BERTić - The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian0
Commonsense Knowledge-Augmented Pretrained Language Models for Causal Reasoning Classification0
CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models0
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation0
SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning0
Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal ReasoningCode0
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning ModelsCode0
COLD: Causal reasOning in cLosed Daily activitiesCode0
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