知识抽取-事件抽取

知识抽取-实体及关系抽取

Neo4j Cypher Cheetsheet

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KnowIME: A System to Construct a Knowledge Graph for Intelligent Manufacturing Equipment-学习笔记
KnowIME: A System to Construct a Knowledge Graph for Intelligent Manufacturing Equipment 构建智能制造设备知识图 ...
论文阅读课4-Long-tail Relation Extraction via Knowledge Graph Embeddings（GCN,关系抽取，2019，远程监督，少样本不平衡，2注意
文章目录 abstract 1.introduction 2.相关工作 2.1 关系提取 2.2 KG embedding 2.3 GCNN 3. 方法 3.1符号 3.2框架 3.2.1 Insta ...
[转发]知识图谱（Knowledge Graph）专知荟萃
知识图谱 (Knowledge Graph) 专知荟萃入门学习大规模知识图谱技术王昊奋华东理工大学 [http://history.ccf.org.cn/sites/ccf/xhdtnry. ...
【KGAT】Knowledge Graph Attention Network for Recommendation
note KGAT结合KG和GAT,在知识图谱三元组基础上,利用GAT进行消息传递,聚合出物品向量后与用户向量进行计算得到预测值.其实不结合KG,何向南团队之前也直接使用GNN做了NGCF和Light ...
[事件知识图谱] EventKG: A Multilingual Event-Centric Temporal Knowledge Graph
ESWC 2018 EventKG: A Multilingual Event-Centric Temporal Knowledge Graph Author Gottschalk, Simon,De ...
A comprehensive overview of knowledge graph completion
摘要知识图(KG)以其代表和管理海量知识的独特优势,为各种下游知识感知任务(如推荐和智能问答)提供了高质量的结构化知识.KGs的质量和完整性在很大程度上决定了下游任务的有效性.但由于知识产权制度的不 ...
论文阅读2 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
目录问题创新 1.Introduction 2.相关工作 3.HAKE模型原文:[1911.09419] Learning Hierarchy-Aware Knowledge Graph Emb ...
LASS: Joint Language Semantic and Structure Embedding for Knowledge Graph Completion 论文解读
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion 代码:pkusjh/LASS: Code ...
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
摘要近年来,多跳知识图(KG)推理得到了广泛的研究,以提供具有证据路径的缺失链接的可解释预测.大多数先前的工作使用基于强化学习(RL)的方法来学习导航到目标实体的路径.然而,这些方法的收敛速度慢,收 ...
论文笔记：Sequence-to-Sequence Knowledge Graph Completion and QuestionAnswering
Sequence-to-Sequence Knowledge Graph Completion and Question 备注:ACL 2022 Main Conference 链接:https:// ...

Knowledge Graph - NLP

知识抽取-事件抽取

知识抽取-实体及关系抽取

Neo4j Cypher Cheetsheet

Knowledge Graph - NLP相关推荐

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