{"task":"Sentiment Analysis","dataset":"ChnSentiCorp Dev","metric_names":["F1"],"rows":[{"id":43674,"task":"Sentiment Analysis","parent_task":null,"dataset":"ChnSentiCorp Dev","model_name":"RoBERTa-wwm-ext-large","metrics":{"F1":"95.8"},"paper_url":"https://arxiv.org/abs/1906.08101v3","paper_title":"Pre-Training with Whole Word Masking for Chinese BERT","paper_date":"2019-06-19","code_links":[{"title":"ymcui/Chinese-BERT-wwm","url":"https://github.com/ymcui/Chinese-BERT-wwm"},{"title":"brightmart/roberta_zh","url":"https://github.com/brightmart/roberta_zh"}],"metrics_order":"[\"F1\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]}]}