说明：读书笔记（类型为 Feeling）并非原创，内容和图均来自原作，仅用于学习交流。
目录
个人成长Growth
人工智能AI
自然语言处理NLP
- 基础
- 论文
- 2022 DeepGen
- 2022 Global Pointer
- 2022 大脑解码与NLP
- 2022 MarkBERT
- 2022 深度vsBM25排序
- 2022 Impossible Triangle
- 2022 NLM Memorization
- 2022 REINA
- 2022 FLAN
- 2021 W2NER
- 2021 W2NER 代码
- 2021 W2NER 解读
- 2021 ExT5
- 2021 多任务Prompt元学习
- 2021 Prompt综述
- 2021 数据增强综述
- 2021 去偏技术综述
- 2021 在上下文中学习如何学习：MetaICL
- 2021 通过最优转移进行词表学习：VOLT
- 2021 SimCSE 和 R-Drop 在 TextCNN 上的实验
- 2021 R-Drop
- 2021 简单的对比学习框架：SimCSE
- 2021 高效深度学习：让模型更小、更快、更好
- 2021 预训练模型的过去、现在和未来
- 2021 Few-Shot NER and BERT Noisy Learning：ProtoBERT
- 2020 T5
- 2020 SqueezeBERT
- 2020 深度探索 Bert：BERTology
- 2020 Bert-Flow
- 2020 Funnel Transformer
- 2020 PEGASUS
- 2020 DeBERTa
- 2020 Reformer
- 2019 T5
- 2019 UniLM
- 2019 Sentence-Bert
- 2019 Bart
- 2019 DistilBERT
- 2019 ALBERT
- 2019 GPT2
- 2019 ELECTRA
- 2019 CTRL
- 2019 RoBERTa
- 2019 ERNIE
- 2019 XLNet
- 2019 Bert
- 2018 Attributes External Feature
- 2017 Transformer Code
- 2017 Transformer Paper
- 2016 Node2Vec
- 2016 NER with Bi-LSTM and CRF
- 2015 Bahdanau Attention
- 2015 Luong Attention
- 2004 TextRank Keyword Extraction
- 笔记：SLP
- Regular Expressions, Text Normalization, and Edit Distance Note (SLP Ch02)
- Language Model Note (SLP Ch03)
- Naive Bayes and Sentiment Classification Note (SLP Ch04)
- Logistic Regression Note (SLP Ch05)
- Vector Semantics Note (SLP Ch06)
- Neural Networks and Neural Language Models Note (SLP Ch07)
- Part-of-Speech Tagging Note (SLP Ch08)
- Sequence Processing with Recurrent Networks Note (SLP Ch09)
- Encoder-Decoder Models Attention and Contextual Embedding Note (SLP Ch10)
- Formal Grammars of English Note (SLP Ch12)
- Syntactic Parsing Note (SLP Ch13)
- Statistical Parsing Note (SLP Ch14)
- Information Extraction Note (SLP Ch18)
- 笔记：冯志伟《自然语言计算机形式分析的理论与方法》
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编程Coding
算法Algorithm
- LeetCode
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