WebCLUE基准测试包含了6个中文文本分类数据集和3个阅读理解数据集,其中包括哈工大讯飞联合实验室发布的CMRC 2024阅读理解数据集。在目前的基准测试中,哈工大讯飞联合实验室发布的 RoBERTa-wwm-ext-large模型 在分类和阅读理解任务中都取得了当前最好 的综合 效 … WebarXiv.org e-Print archive
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WebMar 22, 2024 · This paper proposes a novel model for named entity recognition of Chinese crop diseases and pests. The model is intended to solve the problems of uneven entity distribution, incomplete recognition of complex terms, and unclear entity boundaries. First, a robustly optimized BERT pre-training approach-whole word masking (RoBERTa-wwm) … WebRevisiting Pre-trained Models for Chinese Natural Language Processing Yiming Cui 1;2, Wanxiang Che , Ting Liu , Bing Qin1, Shijin Wang2;3, Guoping Hu2 ... 3.1 BERT-wwm & RoBERTa-wwm In the original BERT, a WordPiece tokenizer (Wu et al.,2016) was used to split the text into Word- WebView the profiles of people named Roberta China. Join Facebook to connect with Roberta China and others you may know. Facebook gives people the power to... nimble call of pripyat