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Papers
Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals
SemEval 2020
Guided Generation of Cause and Effect
IJCAI 2020
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection
SemEval 2020
Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations
IJCAI 2020
Permutation-Based Causal Structure Learning with Unknown Intervention Targets
UAI 2020
Problems with Shapley-value-based explanations as feature importance measures
ICML 2020
SemEval-2020 Task 5: Counterfactual Recognition
SemEval 2020
What-if I ask you to explain: Explaining the effects of perturbations in procedural text
EMNLP 2020
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
EMNLP 2019
On Open-Universe Causal Reasoning
UAI 2019
Reasoning Over Paragraph Effects in Situations
EMNLP 2019
Counterfactual Resimulation for Causal Analysis of Rule-Based Models
IJCAI 2018
On the Conditional Logic of Simulation Models
IJCAI 2018
Reading Comprehension with Graph-based Temporal-Casual Reasoning
COLING 2018
Representation Balancing MDPs for Off-policy Policy Evaluation
NeurIPS 2018
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning
CVPR 2018
Unsupervised Word Influencer Networks from News Streams
ACL 2018
Avoiding Discrimination through Causal Reasoning
NeurIPS 2017
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics
CoRL 2017
One-shot learning by inverting a compositional causal process
NeurIPS 2013
Causal Reasoning with Ancestral Graphs
JMLR 2008
The Noisy-Logical Distribution and its Application to Causal Inference
NeurIPS 2007
Combining causal and similarity-based reasoning
NeurIPS 2006