The UPSC Pre exam is meant to serve as a screening test only. The marks of Paper 1 are alone considered for making the merit list for this exam. Only those candidates who have qualified the Prelims can write the Mains exam. The marks scored in the Prelim exam is not counted in the ...
If you are using the work (e.g. pre-trained model) in ET-BERT for academic work, please cite the paper published in WWW 2022: @inproceedings{lin2022bert, author = {Xinjie Lin and Gang Xiong and Gaopeng Gou and Zhen Li and Junzheng Shi and Jing Yu}, editor = {Fr{\'{e}}d{\'...
This branch is 4 commits behind satnaing/astro-paper:main.Folders and files Latest commit Cannot retrieve latest commit at this time. History656 Commits .husky chore: add lint-staged pre-commit script Oct 16, 2022 .vscode feat: add code-snippets for content creation (satnaing#206) Jan 4, ...
This paper investigates the ability of multilingual BERT (mBERT) language model to transfer syntactic knowledge cross-lingually, verifying if and to which ... R Guarasci,S Silvestri,GD Pietro,... - 《Computer Speech & Language》 被引量: 0发表: 2022年 ...
paper:https://arxiv.org/pdf/2204.10298.pdf github:https://github.com/voidism/DiffCSE 2 『介绍』 句向量表征技术目前已经通过对比学习获取了很好的效果。而对比学习的宗旨就是拉近相似数据,推开不相似数据,有效地学习数据表征。SimCSE方法采用dropo...
paper:https://arxiv.org/pdf/2204.10298.pdf github:https://github.com/voidism/DiffCSE 介绍 句向量表征技术目前已经通过对比学习获取了很好的效果。而对比学习的宗旨就是拉近相似数据,推开不相似数据,有效地学习数据表征。SimCSE方法采用dropout技术,对原始文本进行数据增强,构造出正样本,进行后续对比学习训练,取得...
paper:https://arxiv.org/pdf/2204.10298.pdf github:https://github.com/voidism/DiffCSE 介绍 句向量表征技术目前已经通过对比学习获取了很好的效果。而对比学习的宗旨就是拉近相似数据,推开不相似数据,有效地学习数据表征。SimCSE方法采用dropout技术,对原始文本进行数据增强,构造出正样本,进行后续对比学习训练,取得...
paper:https://arxiv.org/pdf/2204.10298.pdf github:https://github.com/voidism/DiffCSE 介绍 句向量表征技术目前已经通过对比学习获取了很好的效果。而对比学习的宗旨就是拉近相似数据,推开不相似数据,有效地学习数据表征。SimCSE方法采用dropout技术,对原始文本进行数据增强,构造出正样本,进行后续对比学习训练,取得...
I will deliver a keynote speech inCENet 2022 Congratulations to Jing for being selected to attend the Rising Stars: Women in Engineering Workshop 2022 It's a pleasure to attend a talk show on SBS ChineseLink One paper "TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection...
Other Conditional Pretraining Tasks 如表3所示,当DiffCSE模型采用MLM模型和LM模型分别作为生成器时,在句子相似度任务和分类任务上具有不同程度的下降。句子相似度任务上下降的较为明显。 Augmentation Methods: Insert/Delete/Replace 将MLM模型生成伪造句换成随机插入、随机删除或随机替换的效果,如表示所4,MLM模型的效...