Liang Xu

TL;DR: The first large-scale Chinese Language Understanding Evaluation (CLUE) benchmark is introduced, an open-ended, community-driven project that brings together 9 tasks spanning several well-established single-sentence/sentence-pair classification tasks, as well as machine reading comprehension, all on original Chinese text.

TL;DR: This paper presents the first large-scale NLI dataset for Chinese called the Original Chinese Natural Language Inference dataset (OCNLI), which follows closely the annotation protocol used for MNLI, but creates new strategies for eliciting diverse hypotheses.

TL;DR: The Original Chinese Natural Language Inference dataset (OCNLI) as mentioned in this paper is the first large-scale natural language inference dataset for Chinese, consisting of 56,000 annotated sentence pairs.

TL;DR: This paper introduced CLUE, a Chinese language understanding evaluation benchmark, which includes eight different tasks, including single-sentence classification, sentence pair classification, and machine reading comprehension. But the CLUE benchmark is limited to Chinese only.

TL;DR: The Chinese corpus from CLUE organization, CLUECorpus2020, a large-scale corpus that can be used directly for self-supervised learning such as pre-training of a language model, or language generation is introduced.