开课单位--ISWC会议

1
CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion[CapsKG:实现语言模型中的连续知识集成以实现知识图的自动完成]
  (ISWC会议) CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion
热度:18

2
Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translation[用生成翻译映射和清理开放的常识性知识库]
  (ISWC会议) Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translation
热度:17

3
FedShop: A Benchmark for Testing the Scalability of SPARQL Federation Engines[FedShop:测试SPARQL联邦引擎可扩展性的基准]
  (ISWC会议) FedShop: A Benchmark for Testing the Scalability of SPARQL Federation Engines
热度:13

4
SORBET: a Siamese Network for Ontology Embeddings Using a Distance-based Regression Loss and BERT[回归损失和BERT的本体嵌入暹罗网络]
  (ISWC会议) SORBET: a Siamese Network for Ontology Embeddings Using a Distance-based Regression Loss and BERT
热度:11

5
Semantic Annotation of Tabular Data for Machine-to-Machine Interoperability via Neuro-Symbolic Anchoring[神经符号锚定的机器对机器互操作表数据的语义注释]
  (ISWC会议) Semantic Annotation of Tabular Data for Machine-to-Machine Interoperability via Neuro-Symbolic Anchoring
热度:9

6
Disentangled Contrastive Learning for Knowledge-aware Recommender System[知识感知推荐系统的纠缠对比学习]
  (ISWC会议) Disentangled Contrastive Learning for Knowledge-aware Recommender System
热度:18

7
Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces[超复杂空间中知识图嵌入和预训练语言模型]
  (ISWC会议) Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces
热度:5

8
Rethinking Uncertain Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment[对多模态实体比对中不确定缺失和模糊视觉模态]
  (ISWC会议) Rethinking Uncertain Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment
热度:8

9
Assessing the Generalization Capabilities of Neural Machine Translation Models for SPARQL Query Generation[SPARQL查询生成的神经机器翻译模型的泛化能力评估]
  (ISWC会议) Assessing the Generalization Capabilities of Neural Machine Translation Models for SPARQL Query Generation
热度:6

10
LLMs4OL: Large Language Models‌ for Ontology Learning[LLMs4OL:大型语言模型‌ 用于本体学习]
  (ISWC会议) LLMs4OL: Large Language Models‌ for Ontology Learning
热度:8