Lingling Zhang

Title: Lingling Zhang: Innovator in Legal Knowledge Graph Construction

Introduction

Lingling Zhang is a prominent inventor based in Xi'an, China. She has made significant contributions to the field of legal technology through her innovative patent. Her work focuses on the construction of legal knowledge graphs, which are essential for enhancing the understanding and processing of legal information.

Latest Patents

Lingling Zhang holds a patent titled "Method and device for constructing legal knowledge graph based on joint entity and relation extraction." This patent outlines a comprehensive method for creating a legal knowledge graph. The construction method includes several steps: the creation of a triple data set, the design of a model architecture, and the training of a model. The model architecture consists of an encoding layer, a head entity extraction layer, and a relation-tail entity extraction layer. Additionally, the method involves determining the relationships between sentences in the text, combining triples, and visualizing the graph. The framework utilizes a Chinese Bert pre-training model as an encoder, and two BiLSTM binary classifiers are employed for entity extraction.

Career Highlights

Lingling Zhang is affiliated with Xi'an Jiaotong University, where she contributes to research and development in legal technology. Her expertise in constructing legal knowledge graphs has positioned her as a key figure in this innovative field.

Collaborations

Lingling collaborates with notable colleagues, including Xingyi Li and Qinghua Zheng, who contribute to her research endeavors.

Conclusion

Lingling Zhang's innovative work in constructing legal knowledge graphs represents a significant advancement in legal technology. Her contributions are paving the way for more efficient processing and understanding of legal information.