https://github.com/MC-BERT/MC-BERTgithub.com/MC-BERT/MC-BERT 介绍 预先训练的上下文表示(如BERT)已经成为在许多NLP任务中获得最新结果的基础。然而,大规模的预训练在计算上是昂贵的。ELECTRA是早期加速预训练的一个尝试,它训练了一个判别模型,该模型可以预测每个输入令牌是否被一个生成器取代。我们的研究...
BERT类模型将语境引入建模。后续的改进包括:有效地利用外部知识,如知识图改进表征效果;通过控制BERT的MASK方法改进效果;BioBert利用医学领域数据训练模型,本文将结合上述几种方法,以训练中文医疗知识表征。 方法 相对BERT的改进有以下三部分: 全实体Masking MC-BERT以BERT为基础,因BERT中文以字为单位,文中方法利用知识图...
git clone https://github.com/MC-BERT/MC-BERTcdMC-BERT pip install --editable. Getting Started Thefull documentationof fairseq contains instructions for getting started, training new models and extending fairseq with new model types and tasks. ...
MC-BERTMC-BERTPublic Python9511 0 contributions in the last year No contributions on September 10th.No contributions on September 17th.No contributions on September 24th.No contributions on October 1st.No contributions on October 8th.No contributions on October 15th.No contributions on October 22nd.No...
《MC-BERT: Efficient Language Pre-Training via a Meta Controller》Z Xu, L Gong, G Ke, D He, S Zheng, L Wang, J Bian, T Liu [Peking University & Microsoft Research] (2020) O网页链接 view:O网页链接 GitHub: O网页链接 ...
[论文阅读笔记45]ChineseBLUE[MC-BERT] 技术标签:NLP机器学习人工智能深度学习自然语言处理 一,题目 Conceptualized Representation Learning for Chinese Biomedical Text Mining 中文生物医学文本挖掘的概念化表示学习 Ningyu Zhang, Qianghuai Jia, Kangping Yin, Liang Dong, Feng Gao, and Nengwei Hua. 2020. ...
㊀ ㊀２０２３年６月㊀ Ｊｕｎ．２０２３ ㊀㊀㊀㊀㊀㊀ 文章编号：２０９５－２１６３（２０２３）０６－０１８４－０５ 中图分类号：ＴＰ３９１．１；Ｒ１９７．３２ 文献标志码：Ａ 基于改进ＭＣ－Ｂｅｒｔ的ＩＣＤ编码映射方法研究 周浩然，郑建立 （上海理工大学健康科学与工程学院，上海２００...
BertMc — 4个视频。VK在线观看
First, MC-BERT is used as the word embedding model of the text to obtain the word vector, and then BiLSTM and CNN obtain the feature information of the forward and backward directions of the word vector and the local context to obtain the corresponding feature vector. After merging the two...
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