A Theoretically Grounded Benchmark for Evaluating Machine Commonsense. Santos, H., Shen, K., Mulvehill, A. M., Razeghi, Y., McGuinness, D. L., & Kejriwal, M. CoRR, 2022. Paper doi bibtex @article{DBLP:journals/corr/abs-2203-12184,
author = {Henrique Santos and
Ke Shen and
Alice M. Mulvehill and
Yasaman Razeghi and
Deborah L. McGuinness and
Mayank Kejriwal},
title = {A Theoretically Grounded Benchmark for Evaluating Machine Commonsense},
journal = {CoRR},
volume = {abs/2203.12184},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2203.12184},
doi = {10.48550/arXiv.2203.12184},
eprinttype = {arXiv},
eprint = {2203.12184},
timestamp = {Tue, 29 Mar 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2203-12184.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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