Links
- The Structure of Causal Chains: https://www.jstor.org/stable/26939884
- A Study of Extracting Causal Relationships from Text: https://par.nsf.gov/servlets/purl/10448536
- Predicting Directionality in Causal Relations in Text: https://arxiv.org/pdf/2103.13606
- Extraction of causal structure from procedural text for discourse representations: https://scinlp.org/pdfs/extraction-of-causal-structure-from-procedural-text-for-discourse-representations.pdf
- Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling: https://www.ijcai.org/proceedings/2024/0721.pdf
- From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach: https://www.sift.net/sites/default/files/publications/friedman_et_al._-_from_unstructured_text_to_causal_knowledge_graphs.pdf
- The Three Layer Causal Hierarchy: https://web.cs.ucla.edu/~kaoru/3-layer-causal-hierarchy.pdf
- Causal Inference and the Hierarchical Structure of Experience: https://cogdevlab.yale.edu/sites/default/files/files/JohnsonKeil2014.pdf
- Learning the Form of Causal Relationships Using Hierarchical Bayesian Models: https://cocosci.princeton.edu/tom/papers/funcform.pdf
- On Pearl’s Hierarchy and the Foundations of Causal Inference: https://causalai.net/r60.pdf
- Complete Identification Methods for the Causal Hierarchy: https://jmlr.csail.mit.edu/papers/volume9/shpitser08a/shpitser08a.pdf
- Hierarchical Models for Causal Effects: https://sites.stat.columbia.edu/gelman/research/published/HierarchicalCausal.pdf
- Learning the Structure of Causal Models with Relational and Temporal Dependence: https://groups.cs.umass.edu/wp-content/uploads/sites/17/2022/03/marazopoulou-et-al-uai2015.pdf