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An open API service indexing awesome lists of open source software.
awesome-knowledge-graph-master
https://github.com/arStrom/awesome-knowledge-graph-master
- A Survey on Knowledge Graphs: Representation, Acquisition and Applications (2020)
- Knowledge Graphs (2020)
- ERNIE: Enhanced Representation through Knowledge Integration(2019)
- ERNIE: Enhanced Language Representation with Informative Entities(2019) - Encoder新设计的模块，在该模块中也采用多头注意力机制之后融合编码在分别输出到下一层。]
- Latent Relation Language Models(2019)
- K-BERT: Enabling Language Representation with Knowledge Graph
- KG-BERT: BERT for Knowledge Graph Completion(2019) - >t,h,r,t->{0,1}的任务特点设计出两个fine-tuning任务。]
- Enriching BERT with Knowledge Graph Embeddings for Document Classification(2019)
- SENSEMBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation
- Inducing Relational Knowledge from BERT
- Integrating Graph Contextualized Knowledge into Pre-trained Language Models
- K-ADAPTER- Infusing Knowledge into Pre-Trained Models with Adapters
- Knowledge Enhanced Contextual Word Representations (EMNLP 2019)
- Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model (ICLR 2020)
- Language Models as Knowledge Bases?
- A Frame-based Sentence Representation for Machine Reading Comprehension (ACL 2020)
- KILT: a Benchmark for Knowledge Intensive Language Tasks(2020)
- TransOMCS: From Linguistic Graphs to Commonsense Knowledge(ICJAI 2020)
- ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning (AAAI 2019)
- COMET: Commonsense Transformers for Automatic Knowledge Graph Construction (ACL 2019)
- Commonsense Knowledge Aware Conversation Generation with Graph Attention (IJCAI 2018)
- Augmenting End-to-End Dialogue Systems with Commonsense Knowledge(2018)
- Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset
- Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
- Multi-modal Knowledge Graphs for Recommender Systems(CIKM 2020)
- Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding(NeurIPS 2020)
- Holographic embeddings of knowledge graphs
- Context-dependent knowledge graph embedding. EMNLP 2015. Luo, Yuanfei and Wang, Quan and Wang, Bin and Guo, Li.
- GAKE: graph aware knowledge embedding. COLING 2016. Feng, Jun and Huang, Minlie and Yang, Yang and Zhu, Xiaoyan.
- KBGAN: Adversarial Learning for Knowledge Graph Embeddings. Cai, Liwei, and William Yang Wang.(NAACL 2018)
- Bootstrapping Entity Alignment with Knowledge Graph Embedding. Zequn Sun, Wei Hu, Qingheng Zhang and Yuzhong Qu.(IJCAI 2018)
- RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space(ICLR 2019)
- Quaternion Knowledge Graph Embeddings(2019)
- Knowledge Graph Embeddings and Explainable AI(2020)
- Reasoning on Knowledge Graphs with Debate Dynamics
- Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge(2016)
- Differentiable Learning of Logical Rules for Knowledge Base Reasoning.(2017)
- Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings(ICLR 2020)
- Neural-Symbolic Reasoning on Knowledge Graphs(2020)
- Differentiable Reasoning on Large Knowledge Bases and Natural Language
- Diachronic Embedding for Temporal Knowledge Graph Completion
- Commonsense Knowledge Base Completion with Structural and Semantic Context
- KG-BERT: BERT for Knowledge Graph Completion
- Intra-document Coreference Resolution: The state of the art (2007)
- 指代消解综述 (2010)
- Higher-order Coreference Resolution with Coarse-to-fine Inference (ACL2018)
- BERT for Coreference Resolution: Baselines and Analysis (2019)
- Deep Reinforcement Learning for Mention-Ranking Coreference Models (ACL2016)
- Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
- Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
- End-to-End Neural Entity Linking (2018)
- Zero-shot Entity Linking with Efficient Long Range Sequence Modeling (2020)
- Using Type Information to Improve Entity Coreference Resolution
- AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types(KDD 2020)
- A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances (ACL2017) - a关系的抽取和基于is-a关系的本体构建。]
- Context-Aware Attentive Knowledge Tracing(KDD 2020)
- Knowledge Query Network for Knowledge Tracing()
- 官网地址
- 访问地址(http://acemap.sjtu.edu.cn/)
- https://rajpurkar.github.io/SQuAD-explorer/
- 完整数据集下载地址
- WikiData中文部分-截至2017.01
- 下载链接
- 下载链接
- 下载链接
- 下载链接
- 官网地址
- Github地址
- 官网地址
- Github地址
- 清华大学网页
- 清华大学网页
- 东南大学网页
- 复旦大学网页
- 中科院网页
- 哈工大网页
- 知识图谱
- 知识图谱的技术与应用
- 教你搭建一个工业级知识图谱系统
- 知识图谱系统架构剖析
- AI开发者大会——知识图谱专题
- “达观杯”文本智能信息抽取挑战赛
- CCKS 2019 公众公司公告信息抽取
- CCKS 2019 医疗命名实体识别
- CCKS 2019 面向金融领域的事件主体抽取
- CCKS 2019 人物关系抽取
- CCKS 2019 中文短文本的实体链指
- CCIR 2019 基于电子病历的数据查询类问答
- 瑞金医院MMC人工智能辅助构建知识图谱大赛
- CCKS 2018 面向中文电子病历的命名实体识别
- CCKS 2018 面向音乐领域的命令理解任务
- CCKS 2018 微众银行智能客服问句匹配大赛
- CCKS 2018 开放领域的中文问答任务
- CCKS 2017 问题命名实体识别和链接任务
- CCKS 2017 面向电子病历的命名实体识别
- AICon 2019知识图谱专题
- AICon 2018知识图谱深度培训
- AICon 2017知识图谱技术实践
- 知识图谱中的深度学习技术应用概述
- 2018云栖大会上海-人工智能专场
- AI研习社-知识图谱的嵌入：更好更快的负采样
- 小型金融知识图谱构流程示范
- 利用网络上公开的数据构建一个小型的证券知识图谱知识库
- 上市公司高管图谱
- 基于知识图谱的语义理解技术及应用
- 阿里巴巴资深算法专家张伟：百科类知识图谱构建和应用已到深水区，行业和多模态知识图谱引关注
- 华为开发者大会 HDC.Cloud 硬核技术解读：知识图谱构建流程及方法
- 腾讯云知识图谱技术与应用实践之路
- 知识图谱在小米的落地与挑战
- 构建行业知识图谱切勿操之过急，这里有三大前提条件
- 大众点评搜索基于知识图谱的深度学习排序实践
- 知识图谱已成AI下一风口，但你知道它进展到哪了吗？
- 下一代 AI 系统基石：知识图谱将何去何从？
- 阿里巴巴电商认知图谱揭秘
- 为电商而生的知识图谱，如何感应用户需求？
- 阿里小蜜：知识结构化推动智能客服升级
- CCKS 2019:百度CTO王海峰详解知识图谱与语义理解
- 反守为攻！从华为知识图谱窥探AI布局
- 张伟博士：阿里巴巴百亿级别的三元组知识图谱掌舵者
- 知识图谱在互联网金融行业的应用
- 上交大发布知识图谱AceKG，超1亿实体，近100G数据量
- 知识图谱数据构建的“硬骨头”，阿里工程师如何拿下？
- 这是一份通俗易懂的知识图谱技术与应用指南
- 一文揭秘！自底向上构建知识图谱全过程
- 健康知识图谱，阿里工程师如何实现？
- 为电商而生的知识图谱，如何感应用户需求？
- 肖仰华谈知识图谱：知识将比数据更重要，得知识者得天下
- 知识图谱在旅游领域有哪些应用？携程度假团队这样回答
- 快手结合知识图谱进行多模态内容理解
- 腾讯互娱刘伟：知识图谱让AI更有学识
- 美团大脑：知识图谱的建模方法及其应用
- 美团餐饮娱乐知识图谱——美团大脑揭秘
- 人力资源知识图谱搭建及应用
- 基于概念知识图谱的短文本理解——王仲远
- 阿里知识图谱首次曝光：每天千万级拦截量，亿级别全量智能审核
- 百度王海峰：知识图谱是 AI 的基石
- 哈工大刘挺：从知识图谱到事理图谱
- 智能导购？你只看到了阿里知识图谱冰山一角