Explaining Bayesian Networks in Natural Language: State of the Art andChallenges

Conor Hennessy, Alberto Bugarin, Ehud Reiter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to increase trust in the usage ofBayesian networks and to cement their roleas a model which can aid in critical deci-sion making, the challenge of explainabilitymust be faced. Previous attempts at explain-ing Bayesian networks have largely focusedon graphical or visual aids. In this paper weaim to highlight the importance of a naturallanguage approach to explanation and to dis-cuss some of the previous and state of the artattempts of the textual explanation of BayesianNetworks. We outline several challenges thatremain to be addressed in the generation andvalidation of natural language explanations ofBayesian Networks. This can serve as a re-search agenda for future work on natural lan-guage explanations of Bayesian Networks.
Original languageEnglish
Title of host publication2nd Workshop on Interactive Natural Language Technologyfor Explainable Artificial Intelligence
Subtitle of host publicationProceedings of NL4XAI
PublisherThe Association for Computational Linguistics
Pages28-33
Number of pages6
ISBN (Print)978-1-952148-56-9
Publication statusPublished - 18 Dec 2020
Event2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence -
Duration: 18 Dec 202018 Dec 2020
https://sites.google.com/view/nl4xai2020/program

Workshop

Workshop2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence
Period18/12/2018/12/20
Internet address

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