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papersSEP 12 04:00 UTC

E-CONAN Benchmark Suite Targets Arabic Textual Entailment and Inference

A new arXiv paper introduces E-CONAN, a set of benchmarks covering entailment, contradiction and neutral relations for Arabic natural language inference. The authors frame the work as a response to the limited resources available for Arabic compared with English and other well-served languages, noting that inference models are a component of many downstream NLP applications. The datasets are intended to support training and evaluation of Arabic inference systems.

arXivE-CONANArabic NLPlow-resource-languagesnatural language inferencetextual entailment

COVERAGE · 3 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLE-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets ↗SEP 11 04:00 UTC
arXiv cs.LGE-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets ↗SEP 11 04:00 UTC
arXiv cs.AIE-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets ↗SEP 12 04:00 UTC

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