A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense

• Published in: Data intelligence Vol. 6; no. 1; pp. 1 - 28
• Main Authors: Santos, Henrique, Shen, Ke, Mulvehill, Alice M., Kejriwal, Mayank, McGuinness, Deborah L.
• Format: Journal Article
• Language: English
• Published: Cambridge MIT Press Journals, The 01.12.2024
• Subjects: Artificial intelligence; Benchmarks; Datasets; Questions; Reasoning; Semantics; Statistical models

ABSTRACT Achieving machine common sense has been a longstanding problem within Artificial Intelligence. Thus far, benchmark data sets that are grounded in a theory of common sense and can be used to conduct rigorous, semantic evaluations of common sense reasoning (CSR) systems have been lacking. One...