1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.IR2024
Multimodal Relational Triple Extraction with Query-based Entity Object Transformer
Lei Hei, Ning An, Tingjing Liao +3
Multimodal Relation Extraction is crucial for constructing flexible and realistic knowledge graphs. Recent studies focus on extracting the relation type with entity pairs present i…
cs.CL2024
RTF: Region-based Table Filling Method for Relational Triple Extraction
Ning An, Lei Hei, Yong Jiang +4
Relational triple extraction is crucial work for the automatic construction of knowledge graphs. Existing methods only construct shallow representations from a token or token pair-…
cs.CL2024★ 1 cited
TechGPT-2.0: A large language model project to solve the task of knowledge graph construction
Jiaqi Wang, Yuying Chang, Zhong Li +6
Large language models have exhibited robust performance across diverse natural language processing tasks. This report introduces TechGPT-2.0, a project designed to enhance the capa…