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和命名实体识别到的词,以词作为遮蔽单位,如:同时遮蔽“腹痛”两个字。从而引入了领域知识,实体包括:症状、疾病、检查、处治、药品等。 全跨度Masking "肚子有一点疼" ,"腹部一阵一阵痛","腹痛"的意思都差不多,利用Autophrase获取短语,然后从阿里巴巴...
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...
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. ...
1follower·0following Achievements Achievements Block or Report Popular repositoriesLoading MC-BERTPublic Python9711 0 contributions in the last year Contribution Graph Day of WeekDecemberDecJanuaryJanFebruaryFebMarchMarAprilAprMayMayJuneJunJulyJulAugustAugSeptemberSepOctoberOctNovemberNovDecemberDec ...
几篇论文实现代码:《MC-BERT: Efficient Language Pre-Training via a Meta Controller》(2020) GitHub:http://t.cn/A6h97pzz 《Learning Robust Representations by Projecting Superficial Statistics Out》(...
[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. ...
task and the rapid literature growth. This study proposes LITMC-BERT, a transformer-based multi-label classification method in biomedical literature. It uses a shared transformer backbone for all the labels while also captures label-specific features and the correlations between label pairs. We ...
In this work, we introduce an improved BERT-style image pre-training method, namely mc-BEiT, which performs MIM proxy tasks towards eased and refined multi-choice training objectives. Specifically, the multi-choice supervision for the masked image patches is formed by the soft probability vectors ...
在线看BertMc - Критическийуровень 2分钟 21秒。30 9月 2016的高清视频,VK免费视频库免注册! 145 — 已浏览。 5 — 已评价。
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