DarLiner
diff --git a/‎_papers/pdf/[2014-ECCV].Edge Boxes：Locating Object Proposals from Edges.pdf renamed to ‎_papers/pdf/_待整理/[2014-ECCV].Edge Boxes：Locating Object Proposals from Edges.pdf b/‎_papers/pdf/[2014-ECCV].Edge Boxes：Locating Object Proposals from Edges.pdf renamed to ‎_papers/pdf/_待整理/[2014-ECCV].Edge Boxes：Locating Object Proposals from Edges.pdf
diff --git a/‎_papers/pdf/[2015-ICCV].Bilinear CNN Models for Fine-grained Visual Recognition.（双线性池化）.v6.pdf renamed to ‎_papers/pdf/_待整理/[2015-ICCV].Bilinear CNN Models for Fine-grained Visual Recognition.（双线性池化）.v6.pdf b/‎_papers/pdf/[2015-ICCV].Bilinear CNN Models for Fine-grained Visual Recognition.（双线性池化）.v6.pdf renamed to ‎_papers/pdf/_待整理/[2015-ICCV].Bilinear CNN Models for Fine-grained Visual Recognition.（双线性池化）.v6.pdf
diff --git a/‎_papers/pdf/[2016-CVPR].Compact Bilinear Pooling.（压缩双线性池化）.v2.pdf renamed to ‎_papers/pdf/_待整理/[2016-CVPR].Compact Bilinear Pooling.（压缩双线性池化）.v2.pdf b/‎_papers/pdf/[2016-CVPR].Compact Bilinear Pooling.（压缩双线性池化）.v2.pdf renamed to ‎_papers/pdf/_待整理/[2016-CVPR].Compact Bilinear Pooling.（压缩双线性池化）.v2.pdf
diff --git a/‎_papers/pdf/[2016].DenseCap.（李飞飞）.pdf renamed to ‎_papers/pdf/_待整理/[2016].DenseCap.（李飞飞）.pdf b/‎_papers/pdf/[2016].DenseCap.（李飞飞）.pdf renamed to ‎_papers/pdf/_待整理/[2016].DenseCap.（李飞飞）.pdf
diff --git a/‎_papers/pdf/[2018].BERT.pdf renamed to ‎_papers/pdf/_待整理/[2018].BERT.pdf b/‎_papers/pdf/[2018].BERT.pdf renamed to ‎_papers/pdf/_待整理/[2018].BERT.pdf
diff --git a/‎_papers/pdf/文本匹配（Text Matching）/DSSM/[2013]-DSSM.pdf renamed to ‎_papers/pdf/匹配（Matching）/DSSM/[2013]-DSSM.pdf b/‎_papers/pdf/文本匹配（Text Matching）/DSSM/[2013]-DSSM.pdf renamed to ‎_papers/pdf/匹配（Matching）/DSSM/[2013]-DSSM.pdf
diff --git a/‎_papers/pdf/文本匹配（Text Matching）/DSSM/[2014]-CDSSM.pdf renamed to ‎_papers/pdf/匹配（Matching）/DSSM/[2014]-CDSSM.pdf b/‎_papers/pdf/文本匹配（Text Matching）/DSSM/[2014]-CDSSM.pdf renamed to ‎_papers/pdf/匹配（Matching）/DSSM/[2014]-CDSSM.pdf
diff --git a/‎_papers/pdf/文本匹配（Text Matching）/DSSM/[2015]-LSTM_DSSM.pdf renamed to ‎_papers/pdf/匹配（Matching）/DSSM/[2015]-LSTM_DSSM.pdf b/‎_papers/pdf/文本匹配（Text Matching）/DSSM/[2015]-LSTM_DSSM.pdf renamed to ‎_papers/pdf/匹配（Matching）/DSSM/[2015]-LSTM_DSSM.pdf
diff --git a/‎_papers/pdf/文本匹配（Text Matching）/DSSM/[2015]-MV_DSSM.pdf renamed to ‎_papers/pdf/匹配（Matching）/DSSM/[2015]-MV_DSSM.pdf b/‎_papers/pdf/文本匹配（Text Matching）/DSSM/[2015]-MV_DSSM.pdf renamed to ‎_papers/pdf/匹配（Matching）/DSSM/[2015]-MV_DSSM.pdf
diff --git a/‎_papers/pdf/文本匹配（Text Matching）/[1702]-BiMPM.pdf renamed to ‎_papers/pdf/匹配（Matching）/[1702]-BiMPM.pdf b/‎_papers/pdf/文本匹配（Text Matching）/[1702]-BiMPM.pdf renamed to ‎_papers/pdf/匹配（Matching）/[1702]-BiMPM.pdf
diff --git a/‎_papers/pdf/文本匹配（Text Matching）/[1709]-DIIN.pdf renamed to ‎_papers/pdf/匹配（Matching）/[1709]-DIIN.pdf b/‎_papers/pdf/文本匹配（Text Matching）/[1709]-DIIN.pdf renamed to ‎_papers/pdf/匹配（Matching）/[1709]-DIIN.pdf
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diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2014-NIPS].A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2014-NIPS].A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2014-NIPS].A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2014-NIPS].A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2015-ICCV].Ask Your Neurons：A Neural-based Approach to Answering Questions about Images.v7.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2015-ICCV].Ask Your Neurons：A Neural-based Approach to Answering Questions about Images.v7.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2015-ICCV].Ask Your Neurons：A Neural-based Approach to Answering Questions about Images.v7.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2015-ICCV].Ask Your Neurons：A Neural-based Approach to Answering Questions about Images.v7.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2015-ICCV].VQA：Visual Question Answering.v7.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2015-ICCV].VQA：Visual Question Answering.v7.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2015-ICCV].VQA：Visual Question Answering.v7.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2015-ICCV].VQA：Visual Question Answering.v7.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016-CVPR].Answer-Type Prediction for Visual Question Answering.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-CVPR].Answer-Type Prediction for Visual Question Answering.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016-CVPR].Answer-Type Prediction for Visual Question Answering.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-CVPR].Answer-Type Prediction for Visual Question Answering.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016-CVPR].Deep Compositional Question Answering with Neural Module Networks.v4.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-CVPR].Deep Compositional Question Answering with Neural Module Networks.v4.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016-CVPR].Deep Compositional Question Answering with Neural Module Networks.v4.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-CVPR].Deep Compositional Question Answering with Neural Module Networks.v4.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016-CVPR].Stacked Attention Networks for Image Question Answering.v2.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-CVPR].Stacked Attention Networks for Image Question Answering.v2.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016-CVPR].Stacked Attention Networks for Image Question Answering.v2.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-CVPR].Stacked Attention Networks for Image Question Answering.v2.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016-CVPR].Where To Look：Focus Regions for Visual Question Answering.v2.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-CVPR].Where To Look：Focus Regions for Visual Question Answering.v2.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016-CVPR].Where To Look：Focus Regions for Visual Question Answering.v2.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-CVPR].Where To Look：Focus Regions for Visual Question Answering.v2.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016-ECCV].Ask, Attend and Answer：Exploring Question-Guided Spatial Attention for Visual Question Answering.v2.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-ECCV].Ask, Attend and Answer：Exploring Question-Guided Spatial Attention for Visual Question Answering.v2.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016-ECCV].Ask, Attend and Answer：Exploring Question-Guided Spatial Attention for Visual Question Answering.v2.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-ECCV].Ask, Attend and Answer：Exploring Question-Guided Spatial Attention for Visual Question Answering.v2.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016-EMNPL].Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.v3.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-EMNPL].Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.v3.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016-EMNPL].Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.v3.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-EMNPL].Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.v3.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016-ICML].Dynamic Memory Networks for Visual and Textual Question Answering.V1.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-ICML].Dynamic Memory Networks for Visual and Textual Question Answering.V1.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016-ICML].Dynamic Memory Networks for Visual and Textual Question Answering.V1.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-ICML].Dynamic Memory Networks for Visual and Textual Question Answering.V1.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016-NIPS].Hierarchical Question-Image Co-Attention for Visual Question Answering.v5.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-NIPS].Hierarchical Question-Image Co-Attention for Visual Question Answering.v5.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016-NIPS].Hierarchical Question-Image Co-Attention for Visual Question Answering.v5.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016-NIPS].Hierarchical Question-Image Co-Attention for Visual Question Answering.v5.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016].A Focused Dynamic Attention Model for Visual Question Answering.v1.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016].A Focused Dynamic Attention Model for Visual Question Answering.v1.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016].A Focused Dynamic Attention Model for Visual Question Answering.v1.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016].A Focused Dynamic Attention Model for Visual Question Answering.v1.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016].Revisiting Visual Question Answering Baselines.（数据偏差、Facebook）.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016].Revisiting Visual Question Answering Baselines.（数据偏差、Facebook）.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016].Revisiting Visual Question Answering Baselines.（数据偏差、Facebook）.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016].Revisiting Visual Question Answering Baselines.（数据偏差、Facebook）.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016].Training Recurrent Answering Units with Joint Loss Minimization for VQA.v2.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016].Training Recurrent Answering Units with Joint Loss Minimization for VQA.v2.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016].Training Recurrent Answering Units with Joint Loss Minimization for VQA.v2.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016].Training Recurrent Answering Units with Joint Loss Minimization for VQA.v2.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2016].Visual Question Answering.（综述：数据、评价、算法）.v4.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016].Visual Question Answering.（综述：数据、评价、算法）.v4.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2016].Visual Question Answering.（综述：数据、评价、算法）.v4.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2016].Visual Question Answering.（综述：数据、评价、算法）.v4.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2017-CVPR].Dual Attention Networks for Multimodal Reasoning and Matching.v2.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2017-CVPR].Dual Attention Networks for Multimodal Reasoning and Matching.v2.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2017-CVPR].Dual Attention Networks for Multimodal Reasoning and Matching.v2.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2017-CVPR].Dual Attention Networks for Multimodal Reasoning and Matching.v2.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2017-CVPR].Making the V in VQA Matter：Elevating the Role of Image Understanding in Visual Question Answering.（数据集）.v3.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2017-CVPR].Making the V in VQA Matter：Elevating the Role of Image Understanding in Visual Question Answering.（数据集）.v3.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2017-CVPR].Making the V in VQA Matter：Elevating the Role of Image Understanding in Visual Question Answering.（数据集）.v3.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2017-CVPR].Making the V in VQA Matter：Elevating the Role of Image Understanding in Visual Question Answering.（数据集）.v3.pdf
diff --git a/‎_papers/pdf/视觉问答（VisualQA）/[2017-ICLR].Hadamard Product for Low-rank Bilinear Pooling.v4.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2017-ICLR].Hadamard Product for Low-rank Bilinear Pooling.v4.pdf b/‎_papers/pdf/视觉问答（VisualQA）/[2017-ICLR].Hadamard Product for Low-rank Bilinear Pooling.v4.pdf renamed to ‎_papers/pdf/多模态（Multimodal）/视觉问答（VisualQA）/[2017-ICLR].Hadamard Product for Low-rank Bilinear Pooling.v4.pdf
diff --git a/‎_papers/pdf/排序模型（Rank）/[2005-ICML].（RankNet）.Learning to Rank using Gradient Descent.pdf renamed to ‎_papers/pdf/排序（Rank）/[2005-ICML].（RankNet）.Learning to Rank using Gradient Descent.pdf b/‎_papers/pdf/排序模型（Rank）/[2005-ICML].（RankNet）.Learning to Rank using Gradient Descent.pdf renamed to ‎_papers/pdf/排序（Rank）/[2005-ICML].（RankNet）.Learning to Rank using Gradient Descent.pdf
diff --git a/‎_papers/pdf/排序模型（Rank）/[2007-ACM].（ListNet）.Learning to Rank：From Pairwise Approach to Listwise Approach.pdf renamed to ‎_papers/pdf/排序（Rank）/[2007-ACM].（ListNet）.Learning to Rank：From Pairwise Approach to Listwise Approach.pdf b/‎_papers/pdf/排序模型（Rank）/[2007-ACM].（ListNet）.Learning to Rank：From Pairwise Approach to Listwise Approach.pdf renamed to ‎_papers/pdf/排序（Rank）/[2007-ACM].（ListNet）.Learning to Rank：From Pairwise Approach to Listwise Approach.pdf
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diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/README.md renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/README.md b/‎_papers/pdf/句向量（Sentence Embedding）/README.md renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/README.md
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2015-NIPS].Skip-Thought Vectors.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2015-NIPS].Skip-Thought Vectors.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2015-NIPS].Skip-Thought Vectors.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2015-NIPS].Skip-Thought Vectors.pdf
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2015-NIPS].Skip-Thought Vectors.v1.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2015-NIPS].Skip-Thought Vectors.v1.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2015-NIPS].Skip-Thought Vectors.v1.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2015-NIPS].Skip-Thought Vectors.v1.pdf
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2017-ACL].（InferSent）.Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.v5.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2017-ACL].（InferSent）.Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.v5.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2017-ACL].（InferSent）.Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.v5.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2017-ACL].（InferSent）.Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.v5.pdf
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2017-ICLR].（SIF）.A Simple but Tough-to-Beat Baseline for Sentence Embeddings.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2017-ICLR].（SIF）.A Simple but Tough-to-Beat Baseline for Sentence Embeddings.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2017-ICLR].（SIF）.A Simple but Tough-to-Beat Baseline for Sentence Embeddings.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2017-ICLR].（SIF）.A Simple but Tough-to-Beat Baseline for Sentence Embeddings.pdf
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2017-ICLR].（Self-Attention）.A Structured Self-attentive Sentence Embedding.v1.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2017-ICLR].（Self-Attention）.A Structured Self-attentive Sentence Embedding.v1.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2017-ICLR].（Self-Attention）.A Structured Self-attentive Sentence Embedding.v1.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2017-ICLR].（Self-Attention）.A Structured Self-attentive Sentence Embedding.v1.pdf
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2018-ACL].（uSIF）.Unsupervised Random Walk Sentence Embeddings.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-ACL].（uSIF）.Unsupervised Random Walk Sentence Embeddings.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2018-ACL].（uSIF）.Unsupervised Random Walk Sentence Embeddings.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-ACL].（uSIF）.Unsupervised Random Walk Sentence Embeddings.pdf
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2018-ACL].（评价）.What you can cram into a single vector：Probing sentence embeddings for linguistic properties.v2.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-ACL].（评价）.What you can cram into a single vector：Probing sentence embeddings for linguistic properties.v2.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2018-ACL].（评价）.What you can cram into a single vector：Probing sentence embeddings for linguistic properties.v2.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-ACL].（评价）.What you can cram into a single vector：Probing sentence embeddings for linguistic properties.v2.pdf
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2018-ICLR].（Quick-Thought Vectors）.An efficient framework for learning sentence representations.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-ICLR].（Quick-Thought Vectors）.An efficient framework for learning sentence representations.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2018-ICLR].（Quick-Thought Vectors）.An efficient framework for learning sentence representations.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-ICLR].（Quick-Thought Vectors）.An efficient framework for learning sentence representations.pdf
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2018-ICLR].（多任务学习，微软）.Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-ICLR].（多任务学习，微软）.Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2018-ICLR].（多任务学习，微软）.Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-ICLR].（多任务学习，微软）.Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.pdf
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2018-arXiv].（Power Mean）.Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations.v2.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-arXiv].（Power Mean）.Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations.v2.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2018-arXiv].（Power Mean）.Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations.v2.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-arXiv].（Power Mean）.Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations.v2.pdf
diff --git a/‎_papers/pdf/句向量（Sentence Embedding）/[2018-arXiv].（多任务学习，谷歌）.Universal Sentence Encoder.v2.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-arXiv].（多任务学习，谷歌）.Universal Sentence Encoder.v2.pdf b/‎_papers/pdf/句向量（Sentence Embedding）/[2018-arXiv].（多任务学习，谷歌）.Universal Sentence Encoder.v2.pdf renamed to ‎_papers/pdf/词向量（Word Embedding）/句嵌入（Sentence Embedding）/[2018-arXiv].（多任务学习，谷歌）.Universal Sentence Encoder.v2.pdf