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- [【关于 NLP】 那些你不知道的事](#关于-nlp-那些你不知道的事)
- [介绍](#介绍)
- [【关于 论文工具】那些你不知道的事](#关于-论文工具那些你不知道的事)
- [会议收集篇](#会议收集篇)
- [NLP 学习篇](#nlp-学习篇)
- [经典会议论文研读篇](#经典会议论文研读篇)
- [理论学习篇](#理论学习篇)
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- [【关于 搜索引擎】 那些你不知道的事](#关于-搜索引擎-那些你不知道的事)
- [实战篇](#实战篇)
- [重点推荐篇](#重点推荐篇)
- [会议收集篇](#会议收集篇)
- [Elastrsearch 学习篇](#elastrsearch-学习篇)
- [竞赛篇](#竞赛篇)
- [学习资源](#学习资源)
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- [OpenReview](https://github.com/km1994/nlp_paper_study/tree/master/论文学习idea#openreview)
- [Scirate](https://github.com/km1994/nlp_paper_study/tree/master/论文学习idea#scirate)

### 会议收集篇

- [ACL2020](other_study/meeting/ACL_study/ACL2020.md)
- [SIGIR2020](other_study/meeting/SIGIR_stduy/readme.md/)
- [【关于 AAAI 】那些你不知道的事](other_study/meeting/AAAI_study/)
- 一、AAAI 2021
- 1.1 情感分析
- 【Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis (Self-MM)】
- 【An Adaptive Hybrid Framework for Cross-Domain Aspect-Based Sentiment Analysis (AHF)】
- 【Bridging Towers of Multi-Task Learning with a Gating Mechanism for Aspect-Based Sentiment Analysis and Sequential Metaphor Identification ()】
- 【Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis ()】
- 【A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis ()】
- 【Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis ()】
- 【Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis ()】
- 【Segmentation of Tweets with URLs and its Applications to Sentiment Analysis ()】
- 【Segmentation of Tweets with URLs and its Applications to Sentiment Analysis ()】
- 1.2 命名实体识别
- 【Multi-Modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance (UMGF)】
- 【CrossNER: Evaluating Cross-Domain Named Entity Recognition ()】
- 【A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition ()】
- 【Nested Named Entity Recognition with Partially-Observed TreeCRFs (Partially-Observed-TreeCRFs)】
- 【Continual Learning for Named Entity Recognition】
- 【Knowledge-Aware Named Entity Recognition with Alleviating Heterogeneity】
- 【Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model】
- 【MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization(MTAAL)】
- 1.3 关系抽取
- 【FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction(L-MSRE)】
- 【Multi-View Inference for Relation Extraction with Uncertain Knowledge】
- 【GDPNet: Refining Latent Multi-View Graph for Relation Extraction(GDPNet)】
- 【Progressive Multi-Task Learning with Controlled information Flow for Joint Entity and Relation Extraction】
- 【Curriculum-Meta Learning for Order-Robust Continual Relation Extraction】
- 【Document-Level Relation Extraction with Reconstruction】
- 【Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling(ATLOP )】
- 【Entity Structure Within and Throughout: Modeling Mention Dependencies for Document Level Relation Extraction(SSAN)】
- 【Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training( MULTICAST)】
- 【Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference(CTRL-PG)】
- 【A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations】
- 1.4 事件抽取
- 【A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations】
- 【What the Role Is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering(DualQA)】
- 【Span-Based Event Coreference Resolution】
- 1.5 知识图谱
- 【Dual Quaternion Knowledge Graph Embeddings(DualE)】
- 【Type-Augmented Relation Prediction in Knowledge Graphs】
- 【ChronoR: Rotation Based Temporal Knowledge Graph Embedding】
- 【PASSLEAF: A Pool-Based Semi-Supervised Learning Framework for Uncertain Knowledge Graph Embedding】
- 【KG-BART: Knowledge Graph-Augmented Bart for Generative Commonsense Reasoning】
- 【Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders】
- 【其他】

### NLP 学习篇

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- [2. 更语义搜索](#2-更语义搜索)
- [3。 多轮搜索](#3-多轮搜索)


#### 实战篇

##### 重点推荐篇
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- [【关于 Bert 源码解析IV 之 句向量生成篇 】 那些的你不知道的事](https://github.com/km1994/nlp_paper_study/blob/master/bert_study/T1_bert/bertCode4_word2embedding.md)
- [【关于 Bert 源码解析V 之 文本相似度篇 】 那些的你不知道的事](https://github.com/km1994/nlp_paper_study/blob/master/bert_study/T1_bert/bertCode5_similarity.md)

### 会议收集篇

- [ACL2020](other_study/meeting/ACL_study/ACL2020.md)
- [SIGIR2020](other_study/meeting/SIGIR_stduy/readme.md/)
- [【关于 AAAI 】那些你不知道的事](other_study/meeting/AAAI_study/)
- 一、AAAI 2021
- 1.1 情感分析
- 【Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis (Self-MM)】
- 【An Adaptive Hybrid Framework for Cross-Domain Aspect-Based Sentiment Analysis (AHF)】
- 【Bridging Towers of Multi-Task Learning with a Gating Mechanism for Aspect-Based Sentiment Analysis and Sequential Metaphor Identification ()】
- 【Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis ()】
- 【A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis ()】
- 【Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis ()】
- 【Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis ()】
- 【Segmentation of Tweets with URLs and its Applications to Sentiment Analysis ()】
- 【Segmentation of Tweets with URLs and its Applications to Sentiment Analysis ()】
- 1.2 命名实体识别
- 【Multi-Modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance (UMGF)】
- 【CrossNER: Evaluating Cross-Domain Named Entity Recognition ()】
- 【A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition ()】
- 【Nested Named Entity Recognition with Partially-Observed TreeCRFs (Partially-Observed-TreeCRFs)】
- 【Continual Learning for Named Entity Recognition】
- 【Knowledge-Aware Named Entity Recognition with Alleviating Heterogeneity】
- 【Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model】
- 【MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization(MTAAL)】
- 1.3 关系抽取
- 【FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction(L-MSRE)】
- 【Multi-View Inference for Relation Extraction with Uncertain Knowledge】
- 【GDPNet: Refining Latent Multi-View Graph for Relation Extraction(GDPNet)】
- 【Progressive Multi-Task Learning with Controlled information Flow for Joint Entity and Relation Extraction】
- 【Curriculum-Meta Learning for Order-Robust Continual Relation Extraction】
- 【Document-Level Relation Extraction with Reconstruction】
- 【Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling(ATLOP )】
- 【Entity Structure Within and Throughout: Modeling Mention Dependencies for Document Level Relation Extraction(SSAN)】
- 【Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training( MULTICAST)】
- 【Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference(CTRL-PG)】
- 【A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations】
- 1.4 事件抽取
- 【A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations】
- 【What the Role Is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering(DualQA)】
- 【Span-Based Event Coreference Resolution】
- 1.5 知识图谱
- 【Dual Quaternion Knowledge Graph Embeddings(DualE)】
- 【Type-Augmented Relation Prediction in Knowledge Graphs】
- 【ChronoR: Rotation Based Temporal Knowledge Graph Embedding】
- 【PASSLEAF: A Pool-Based Semi-Supervised Learning Framework for Uncertain Knowledge Graph Embedding】
- 【KG-BART: Knowledge Graph-Augmented Bart for Generative Commonsense Reasoning】
- 【Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders】
- 【其他】

### Elastrsearch 学习篇

- [Elastrsearch 学习](es_study/)
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