@inproceedings{sevilla-2020-explaining,
    title = "Explaining data using causal {B}ayesian networks",
    author = "Sevilla, Jaime",
    editor = "Alonso, Jose M.  and
      Catala, Alejandro",
    booktitle = "2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence",
    month = nov,
    year = "2020",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.nl4xai-1.8/",
    pages = "34--38",
    abstract = "I introduce Causal Bayesian Networks as a formalism for representing and explaining probabilistic causal relations, review the state of the art on learning Causal Bayesian Networks and suggest and illustrate a research avenue for studying pairwise identification of causal relations inspired by graphical causality criteria."
}