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NLP-Learning-Notes
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🧠 NLP笔记，入门概念，基础知识，研究方法，顶会研读
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📚 NLP-Learning-Notes ----- 本书最新网址 https://junchaoiu.github.io/NLP-Learning-Notes ，欢迎大家访问 ～ NLP笔记，入门概念，基础知识，研究方法，顶会研读 作者研究导向： - 机器翻译 - 知识图谱 ----- ## 🌈 为什么写这份笔记 科研于我是一段孤独的道路 路上总会遇到很多很多人 希望我也有能力可以拉你一把 希望你也愿意和我一起走过一段路程 ----- ## ✨导航 - 知识图谱技术 - [知识图谱概述](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/知识图谱技术/知识图谱概述/知识图谱概述.md) - [知识表示](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/知识图谱技术/知识表示/知识表示.md) - [知识建模](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/知识图谱技术/知识建模/知识建模.md) - [知识抽取](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/知识图谱技术/知识抽取/知识抽取.md) - [知识融合](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/知识图谱技术/知识融合/知识融合.md) - [知识表示学习](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/知识图谱技术/知识表示学习/知识表示学习.md) - [知识存储](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/知识图谱技术/知识存储/知识存储.md) - [知识推理](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/知识图谱技术/知识推理/知识推理.md) - [多模态知识图谱概述](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/知识图谱技术/多模态知识图谱概述/多模态知识图谱概述.md) - 机器翻译 - [无监督机器翻译](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/机器翻译/无监督机器翻译.md) - [Word Translation Without Parallel Data (Alexis Conneau, ICLR, 2018)](https://github.com/junchaoIU/NLP-Learning-Notes/blob/main/docs/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91/%E6%97%A0%E7%9B%91%E7%9D%A3%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md#word-translation-without-parallel-data-alexis-conneau2018iclr) - [Unsupervised Machine Translation Using Monolingual Corpora Only (Guillaume Lample, ICLR, 2018)](https://github.com/junchaoIU/NLP-Learning-Notes/blob/main/docs/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91/%E6%97%A0%E7%9B%91%E7%9D%A3%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md#unsupervised-machine-translation-using-monolingual-corpora-only-guillaume-lample2018iclr) - [Phrase-Based & Neural Unsupervised Machine Translation (Guillaume Lample, EMNLP, 2018)](https://github.com/junchaoIU/NLP-Learning-Notes/blob/main/docs/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91/%E6%97%A0%E7%9B%91%E7%9D%A3%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md#phrase-based--neural-unsupervised-machine-translationguillaume-lample-emnlp-2018) - [Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data (Wei-Jen Ko, ACL, 2021)](https://github.com/junchaoIU/NLP-Learning-Notes/blob/main/docs/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91/%E6%97%A0%E7%9B%91%E7%9D%A3%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md#adapting-high-resource-nmt-models-to-translate-low-resource-related-languages-without-parallel-data) - [A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation (Shuo Ren, ACL, 2020)](https://github.com/junchaoIU/NLP-Learning-Notes/blob/main/docs/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91/%E6%97%A0%E7%9B%91%E7%9D%A3%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md#a-retrieve-and-rewrite-initialization-method-for-unsupervised-machine-translation) - [Multilingual Unsupervised Neural Machine Translation with Denoising Adapters (Ahmet Üstün, EMNLP, 2021)](https://github.com/junchaoIU/NLP-Learning-Notes/blob/main/docs/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91/%E6%97%A0%E7%9B%91%E7%9D%A3%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md#multilingual-unsupervised-neural-machine-translation-with-denoising-adapters) - [Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT (Alexandra, EMNLP, 2020)](https://github.com/junchaoIU/NLP-Learning-Notes/blob/main/docs/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91/%E6%97%A0%E7%9B%91%E7%9D%A3%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md#reusing-a-pretrained-language-model-on-languages-with-limited-corpora-for-unsupervised-nmt-alexandra-emnlp-2020) - [Cross-lingual Language Model Pretraining (Guillaume Lample, NeurIPS, 2019)](https://github.com/junchaoIU/NLP-Learning-Notes/blob/main/docs/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91/%E6%97%A0%E7%9B%91%E7%9D%A3%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md#cross-lingual-language-model-pretraining-guillaume-lample-neurips-2019) - [机器翻译预训练模型](https://github.com/junchaoIU/NLP-Learning-Notes/tree/main/docs/机器翻译/机器翻译预训练模型.md) - [Multilingual Denoising Pre-training for Neural Machine Translation (Yinhan Liu, Transactions of the Association for Computational Linguistics, 2022)](https://github.com/junchaoIU/NLP-Learning-Notes/blob/main/docs/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91%E9%A2%84%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B.md) - [Cross-lingual Language Model Pretraining (Guillaume Lample, NeurIPS, 2019)](https://github.com/junchaoIU/NLP-Learning-Notes/blob/main/docs/%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91/%E6%97%A0%E7%9B%91%E7%9D%A3%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md#cross-lingual-language-model-pretraining-guillaume-lample-neurips-2019) - [低资源机器翻译] - [Low-resource Neural Machine Translation with Cross-modal Alignment (Zhe Yang, EMNLP, 2022)]() - [SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languag (Alireza Mohammadshahi, EMNLP, 2022)]() - [ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation (Zhaocong Li, EMNLP, 2022)]() - 未分类 - [Attention is All You Need (Vaswani, NIPS, 2017)]() - 模型压缩 - [TinyBERT: Distilling BERT for Natural Language Understanding (Xiaoqi Jiao, EMNLP, 2020)]() ----- ## 🍉 欢迎批评指正 由于个人水平有限，笔记中难免有笔误甚至概念错误之处，请各位不吝赐教，在issue中提出来。 ----- ## 🌸 关于作者 [WU, JUNCHAO](https://github.com/junchaoIU) [个人学术主页](https://junchaoiu.github.io/) [个人博客-春天与爱情の樱花🌸](https://www.wujunchao.top/) 如遇到问题，请致邮（Email）：wujunchaoIU@outlook.com
