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12/21/2021
An ASP-based Approach to Answering Natural Language Questions for Texts
An approach based on answer set programming (ASP) is proposed in this pa...
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09/26/2021
A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories
We present a clustering- and demotion-based algorithm called Kmeans-FOLD...
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01/27/2021
Knowledge-driven Natural Language Understanding of English Text and its Applications
Understanding the meaning of a text is a fundamental challenge of natura...
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09/22/2020
SQuARE: Semantics-based Question Answering and Reasoning Engine
Understanding the meaning of a text is a fundamental challenge of natura...
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08/09/2020
White-box Induction From SVM Models: Explainable AI with Logic Programming
We focus on the problem of inducing logic programs that explain models l...
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09/18/2019
Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models
We present a fast and scalable algorithm to induce non-monotonic logic p...
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05/24/2019
Induction of Non-Monotonic Rules From Statistical Learning Models Using High-Utility Itemset Mining
We present a fast and scalable algorithm to induce non-monotonic logic p...
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08/02/2018
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
We present a heuristic based algorithm to induce non-monotonic logic pro...
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02/18/2018
