A common assumption of existing knowledge graph embedding models is that the relation is a translation vector connecting the embedded head entity and tail entity. However, based on this assumption, the same relation connecting multiple entities may form a circle and lead to m...
Learning knowledge graph (KG) embeddings has received increasing attention in recent years. Most embedding models in literature interpret relations as linear or bilinear mapping functions to operate on entity embeddings. However, we find that such relation-level modeling cannot capture the diverse ...
将文本与知识库统一为WK Graph格式,即将文本视为全连接图word graph,将文本中的entity mention检索的子图作为knowledge sub-graph,entity mention作为anchor node结合为WK Graph 使用预训练的knowledge embedding作为初始化,并与word emedding结合进行训练,避免引入额外的模块; 提出三种Masking方法和Learning Loss; 简要信息...
1.Embedding Layer 模型的输入层是三个embedding做拼接。 token embedding,包含了词、实体、关系三者,这也是本文模型可以直接学习entity-embedding和relation-embedding的设计。 type embedding,就是用来区分词、实体、关系的类别。 position embedding,这里作者采用soft-position,允许重复position的出现,并且保证相同三元组的to...
[1]. In addition, the RDF data model inherently supports basic inferences. Being modular, it allows fully parallelized data processing and can represent partial information. RDF is one of the primary graph-based data models that are well-utilized in fields that require data fusion and/or ...
Knowledge-Enriched Graph Convolution Network for Hybrid Explainable Recommendation from Review Texts and Reasoning Path In the digital era, organizations leverage technology to handle vast datasets, yet deriving meaningful insights remains a challenge. Recommender systems ad... R Bastola,S Shakya - Intern...
Notably, other contextualized pretrained embedding frameworks from the NLP domain, such as ULMFiT46 and ELMo26, could also be tested in the EHR domain. However, we choose BERT in this work because it is widely adopted with proven success. To the best of our knowledge, there are only two ...
Source code for paper "CoLAKE: Contextualized Language and Knowledge Embedding". If you have any problem about reproducing the experiments, please feel free to contact us or propose an issue. Prepare your environment We recommend to create a new environment. conda create --name colake python=3.7...
。 该任务有两个核心步骤: ①文档级别的实体编码(document-levelentityencoding) ②有向无环图的生成(EDAG generation) 根据预定义的事件角色(Event...:Document-levelentityencoding: 在进行文档级别的实体编码之前要先将句子进行embedding并识别句子中的entity。本文将一个文档视为一个sentence使用Transformer-1 ...
Inductive Zero-Shot Image Annotation via Embedding Graph Conventional image annotation systems can only handle those images having labels within the exist library, but cannot recognize those novel labels. In orde... F Wang,J Liu,S Zhang,... - 《IEEE Access》 被引量: 0发表: 2019年 Zero-Shot...