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A Benchmark Arabic Dataset for Commonsense Explanation
December 18, 2020 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Saja AL-Tawalbeh, Mohammad AL-Smadi
arXiv ID
2012.10251
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.LG
Citations
2
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Language comprehension and commonsense knowledge validation by machines are challenging tasks that are still under researched and evaluated for Arabic text. In this paper, we present a benchmark Arabic dataset for commonsense explanation. The dataset consists of Arabic sentences that does not make sense along with three choices to select among them the one that explains why the sentence is false. Furthermore, this paper presents baseline results to assist and encourage the future evaluation of research in this field. The dataset is distributed under the Creative Commons CC-BY-SA 4.0 license and can be found on GitHub
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