自然语言处理（NLP）必读论文、课程、术语汇总 自然语言处理 硕士毕业论文

自然语言处理（NLP）必读论文、课程、术语汇总

本文总结了在学习过程中，与NLP相关的必读论文全文对照翻译和相关术语介绍的博客。

持续更新中···⏰

文章目录NLPIndexPartI：必读论文1.Seq2Seq2.Encoder-Decoder3.Attention4.Transformer5.BERT6.GPT7.EfficientTransformerPartII：相关术语0.RNN1.Seq2Seq2.Embedding3.Word2Vec4.MarkovChain5.BeamSearch6.AttentionMechanisms7.TransformerNLPIndex

https://index.quantumstat.com/

PartI：必读论文1.Seq2SeqSequencetoSequenceLearningwithNeuralNetworks2.Encoder-DecoderLearningPhraseRepresentationsusingRNNEncoder-DecoderforStatisticalMachineTranslation3.AttentionNeuralMachineTranslationbyJointlyLearningtoAlignandTranslateEffectiveApproachestoAttention-basedNeuralMachineTranslation4.TransformerAttentionIsAllYouNeed5.BERT

BERT:Pre-trainingofDeepBidirectionalTransformersforLanguageUnderstanding

6.GPT

GPTv1：ImprovingLanguageUnderstandingbyGenerativePre-TrainingGPTv2：LanguageModelsareUnsupervisedMultitaskLearnersGPTv3：LanguageModelsareFew-ShotLearners

7.EfficientTransformerGLUVariantsImproveTransformerEfficientTransformersASurveyPartII：相关术语0.RNNHowLSTMsWork？图解RNN,LSTM,GRU1.Seq2SeqSeq2Seq模型简介2.Embedding神经网络嵌入解释3.Word2VecWord2Vec简介图解Word2Vec4.MarkovChain马尔可夫链和隐马尔可夫模型简介隐马尔可夫模型（HMM）简介5.BeamSearch波束搜索算法的直观解释6.AttentionMechanisms注意力机制理解注意力机制的直观理解注意力机制概述图解AttentionIllustratedAttention7.Transformer图解TransformerHowTransformersWorkIllustratedSelf-Attention