Towards Explainable Linguistic Summaries
Author:
Affiliation:
1. Maastricht University,Department of Advanced Computing Sciences (DACS),Maastricht,The Netherlands
Funder
Netherlands Enterprise Agency
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10309665/10309668/10309707.pdf?arnumber=10309707
Reference56 articles.
1. Generation and evaluation of factual and counterfactual explanations for decision trees and fuzzy rule-based classifiers
2. Towards generating effective explanations of logical formulas: Challenges and strategies;mayn;Proc of the Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI) at the International Conference on Natural Language Generation (INLG),2020
3. Argument mining;budzynska;The IEEE Intelligent Informatics Bulletin,2016
4. A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence
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