8 citations · 36 across the 9 of their papers we have counts for
4 papers · 1 filter
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings
Guanglin Niu, Yang Li, Chengguang Tang +6
The multi-relational Knowledge Base Question Answering (KBQA) system performs multi-hop reasoning over the knowledge graph (KG) to achieve the answer. Recent approaches attempt to…
Entity Concept-enhanced Few-shot Relation Extraction
Shan Yang, Yongfei Zhang, Guanglin Niu +2
Few-shot relation extraction (FSRE) is of great importance in long-tail distribution problem, especially in special domain with low-resource data. Most existing FSRE algorithms fai…
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding
Guanglin Niu, Bo Li, Yongfei Zhang +2
Recent advances in Knowledge Graph Embedding (KGE) allow for representing entities and relations in continuous vector spaces. Some traditional KGE models leveraging additional type…
Rule-Guided Compositional Representation Learning on Knowledge Graphs
Guanglin Niu, Yongfei Zhang, Bo Li +4
Representation learning on a knowledge graph (KG) is to embed entities and relations of a KG into low-dimensional continuous vector spaces. Early KG embedding methods only pay atte…