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            <namePart type="given">Jose</namePart>
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            <namePart type="given">Alejandro</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T Explaining data using causal Bayesian networks
%A Sevilla, Jaime
%Y Alonso, Jose M.
%Y Catala, Alejandro
%S 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence
%D 2020
%8 November
%I Association for Computational Linguistics
%C Dublin, Ireland
%F sevilla-2020-explaining
%X 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.
%U https://aclanthology.org/2020.nl4xai-1.8
%P 34-38

Markdown (Informal)

[Explaining data using causal Bayesian networks](https://aclanthology.org/2020.nl4xai-1.8) (Sevilla, NL4XAI 2020)

• Explaining data using causal Bayesian networks (Sevilla, NL4XAI 2020)

ACL

• Jaime Sevilla. 2020. Explaining data using causal Bayesian networks. In 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, pages 34–38, Dublin, Ireland. Association for Computational Linguistics.