NLP-Research-Materials
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分布式存储与计算NLP小组资料分享
收集机器学习和自然语言处理相关的资料，欢迎大家补充！
目录
自然语言处理
- 自然语言处理
论文
- 论文
- B多任务学习类
- Multimodal and Multi-view Models for Emotion Recognition.pdf
- HierarchicalFeatureFusionNetwork withLocalandGlobalPerspectivesforMultimodalAffectiveComputing.pdf
- B CommonSense QA.pdf
- MELD A Multimodal Multi-Party Dataset.pdf
- Label-awareDoubleTransferLearningforCross-Specialty MedicalNamedEntityRecognition.pdf
- Multi-Task Learning for Coherence Modeling.pdf
- Multi-Task Networks With Universe, Group, and Task Feature Learning.pdf
- B 海量多语言迁移学习.pdf
- B AdversarialTransferLearningforChineseNamedEntityRecognition withSelf-AttentionMechanism.pdf
- A Emotion-Cause Pair Extraction.pdf
- AnInteractiveMulti-TaskLearningNetworkforEnd-to-End Aspect-BasedSentimentAnalysis.pdf
- LDA
- Learning to Classify Short and Sparse Text Web with Hidden Topics from Large-scale Data Collections(2008).pdf
- AUTOENCODING VARIATIONAL INFERENCE FOR TOPIC MODELS.pdf
- Latent Dirichlet Allocation.pdf
- Streaming-LDA_A Copula-based Approach to Modeling Topic Dependencies in Document Streams(KDD,2016).pdf
- Fast Collapsed Gibbs Sampling For Latent Dirichlet Allocation(KDD,2008).pdf
- Clustering with Probabilistic Topic Models on Arabic Texts(2016).pdf
- CitationLDA++_An Extension of LDA for Discovering Topics in Document Network(2018).pdf
- MPI-OpenMP hybrid parallel inference for Latent Dirichlet Allocation(2011).pdf
- refs of [An improved ant algorithm...]
- LDA Meets Word2Vec_A Novel Model for Academic Abstract Clustering(2018).pdf
- An improved ant algorithm with LDA-based representation for text document clustering(2017).pdf
- notes
- LDA.lnk
- A Hybrid Document Feature Extraction Method Using Latent Dirichlet Allocation and Word2Vec(2016).pdf
- 主题模型
- AUTOENCODING VARIATIONAL INFERENCE FOR TOPIC MODELS.pdf
- 知识抽取
- AJointNamed-EntityRecognizerforHeterogeneousTag-sets UsingaTagHierarchy.pdf
- featurecomposition2019.pdf
- NeuralRelationExtractionforKnowledgeBaseEnrichment.pdf
- C NER with Eye Movement Information.pdf
- AttentionGuidedGraphConvolutionalNetworksforRelationExtraction.pdf
- C Reliability-aware Dynamic Feature Composition for Name Tagging.pdf
- 真实检测
- ChoosingtheMoreConvincingEvidencewitha SiameseNetwork.pdf
- GAN与nlp
- DistillingDiscriminationandGeneralizationKnowledgeforEvent Detectionvia ∆-RepresentationLearning.pdf
- 多粒度与非常规粒度策略
- Exact Hard Monotonic Attention for Character-Level Transduction.pdf
- Multi-Grained Named Entity Recognition.pdf
- NeuralFine-GrainedEntityTypeClassification withHierarchy-AwareLoss.pdf
- C事件检测
- ZSL
- joint ee
- ~$检测通用笔记.doc
- ACL论文笔记
- 预训练模型事件生成
- 事件检测数据集
- 深度学习或pooling改善
- a survey of event extraction from text.pdf
- docuemnt level ee
- Idea king.docx
- vae事件检测
- gcn ee
- 事件检测通用笔记.doc
- ~$ea king.docx
- 多任务学习
- 注意力（模块注意力）
- 预训练模型用于事件生成与检测
- 表征类.docx
- 常用靶子（经典模型）
- 新建文件夹
- a survey of event extraction from text_1_22_translate.pdf
- gan与事件检测
- ~$HMEAE.docx
- 多语言学习
- Naacl2019事件检测论文.md
- 损失函数与训练方法或trick
- 无监督与生成式
- DOER Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction.pdf
- Open-Domain Targeted Sentiment Analysis.pdf
- B AdversarialTransferLearningforChineseNamedEntityRecognition withSelf-AttentionMechanism.pdf
- Phrase-Based&NeuralUnsupervisedMachineTranslation .pdf
- 情感分析
- Multimodal and Multi-view Models for Emotion Recognition.pdf
- Transfer Capsule Network for Aspect Level Sentiment Classification.pdf
- Open-Domain Targeted Sentiment Analysis.pdf
- Sentiment Tagging with Partial Labels using Modular Architectures.pdf
- Progressive Self-Supervised Attention Learning for.pdf
- Emotion-Cause Pair Extraction.pdf
- 奇招
- 对抗学习语义解析.pdf
- ChID A Large-scale Chinese IDiom Dataset for Cloze Test.pdf
- Cost-sensitiveRegularizationforLabelConfusion-awareEventDetection.pdf
- beam serch RNNG.pdf
- Is Attention Interpretable.pdf
- ModelingComparativeColorDescriptions.pdf
- Learning from omission.pdf
- cnm.pdf
- Improved Zero-shot Neural Machine Translation.pdf
- text2sql
- text2sql.pdf
- A网络模型
- tinybert bert与蒸馏学习.pdf
- B ELECTRA PPT.pdf
- freelb.docx
- B ELECTRA.pdf
- B ELMO.pdf
- C cnm.pdf
- A roberta.pdf
- t5.pdf
- B seq2seq.pdf
- freelb_roberta.pdf
- A Attention is all your need.pdf
- B xlnet.pdf
- gpt2.pdf
- A BERT.pdf
- BERT.pdf
- 深度预训练模型总结.docx
- Cnlp基础
- A修复训练与推断的误差.pdf
- 深度学习中分词对中文是否重要.pdf
- C 远程监督.pdf
- C auto phrase.pdf
- C Weneedtotalkaboutstandardsplits.pdf
- Classification and Clustering of Arguments with.pdf
- A Lightweight Recurrent Network for Sequence Modeling.pdf
- A ORDERED NEURONS.pdf
书籍
- 书籍
- edbook_oct162019.pdf
- speech and language processing.pdf
- Speech and Language Processingch9.pdf
机器学习
- 机器学习
论文
- 论文
- 降维
- 链接.txt
- 2276-stochastic-neighbor-embedding.pdf
- 傅里叶与AI
- 2006_-_A_spectral_analysis_of_function_composition.pdf
- 网络部件或训练策略
- label—smoothing.pdf
- B batch-normalization.pdf
- C mixup数据增强.pdf
- C 余弦退火热启动.pdf
- mixup.pdf
- ICLR、ICML相关论文
- ICLR2019
- CCL2019最佳
- ICML2019
- 胶囊网络
- 胶囊网络笔记.docx
- 胶囊网络.pdf
- 计算机视觉模型
- C 残差网络.pdf
- Convolutional_Block_Attention_Module.pdf
- Squeeze-and-Excitation Networks.pdf
- resnext-instragram-wsl.pdf
- A effcientnet.pdf
- 核方法
- CCA
- 生成式
- vae原文.pdf
- gumbel.url
- 复值生成网络.pdf
- Convolution_of_spiky_function_with_box2.gif
- gan与半监督.pdf
- 2c08e95382ff57877dd41672f4dedae7057262c0.svg
- Open Domain Event Extraction Using Neural Latent V.docx
- gan.pdf
- vae tutioal_translate.pdf
- vae tutioal.pdf
- 玄学
- iclr2019.docx
- 模型融合
- Distilling the Knowledge in a Neural Network.pdf
- gcn
- 第一代gcn.pdf
- 图卷积ppt.pdf
- 第三代gcn.pdf
- 第二代gcn.pdf
- 第一代gcn的应用.pdf
- 水文（增强信心）
- Wei_Building_Detail-Sensitive_Semantic_Segmentation_Networks_With_Polynomial_Pooling_CVPR_2019_paper.pdf
- envent detection without tagger.pdf
- wassertein距离
- Opt.pdf
- 从Wasserstein距离、对偶理论到WGAN - 科学空间_Scientific Spaces_files
书籍
- 书籍
- A神经网络与深度学习.pdf
- MLY-zh-cn.pdf
- B模式识别和机器学习PRML_伯克利教授中文翻译版.pdf
- B机器学习(西瓜书)_周志华-中文-2016.pdf
- Complex-Valued Neural Networks.pdf
ppt
- ppt
- 【华为云人工智能大赛·垃圾分类挑战杯】决赛答辩视频&PPT.txt
△ push.bat
△ .gitignore
△ ldc-not-for-profit-membership.pdf
△ KDD_2020_Call_for_Research_Papers.pdf
△ 中国计算机学会推荐国际学术会议和期刊目录-2019.pdf
△ 需要注意的会议时间.docx
△ ~$需要注意的会议时间.docx
△ 清华nlp研究github地址.url
:book: 申明：本仓库收集的所有资料均来源于网络,仅供学习交流使用。如有侵权请联系删除！
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