34 citations · 80 across the 13 of their papers we have counts for
17 papers
Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property
Yuxin Liu, Yawen Li, Yingxia Shao +1
In the age of big data, the demand for hidden information mining in technological intellectual property is increasing in discrete countries. Definitely, a considerable number of gr…
A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents
Runze Fang, Junping Du, Yingxia Shao +1
The relation triples extraction method based on table filling can address the issues of relation overlap and bias propagation. However, most of them only establish separate table f…
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
Shitao Xiao, Zheng Liu, Weihao Han +10
Vector quantization (VQ) based ANN indexes, such as Inverted File System (IVF) and Product Quantization (PQ), have been widely applied to embedding based document retrieval thanks…
Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU
Suyu Ouyang, Yingxia Shao, Junping Du +1
The knowledge extraction task is to extract triple relations (head entity-relation-tail entity) from unstructured text data. The existing knowledge extraction methods are divided i…
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs
Hongzheng Li, Yingxia Shao, Junping Du +2
Random walk is widely used in many graph analysis tasks, especially the first-order random walk. However, as a simplification of real-world problems, the first-order random walk is…
An Intellectual Property Entity Recognition Method Based on Transformer and Technological Word Information
Yuhui Wang, Junping Du, Yingxia Shao
Patent texts contain a large amount of entity information. Through named entity recognition, intellectual property entity information containing key information can be extracted fr…