Shengbin Jia

According to our database, Shengbin Jia authored at least 18 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Retrieval-LTV: Fine-Grained Transfer Learning for Lifetime Value Estimation in Large-Scale Industrial Retrieval.

Shirui Wang, Shengbin Jia, Tianyue Cao, Shuo Yang, Lei Jiang, Qi He, Lingling Yao, Yang Xiang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2022

Hybrid neural tagging model for open relation extraction.

Shengbin Jia, E. Shijia, Ling Ding, Xiaojun Chen, Yang Xiang

Expert Syst. Appl., 2022

2021

Reasoning over temporal knowledge graph with temporal consistency constraints.

Xiaojun Chen, Shengbin Jia, Ling Ding, Yang Xiang

J. Intell. Fuzzy Syst., 2021

Parasitic Network: Zero-Shot Relation Extraction for Knowledge Graph Populating.

Shengbin Jia, E. Shijia, Ling Ding, Xiaojun Chen, Lingling Yao, Yang Xiang

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Learn#: A Novel incremental learning method for text classification.

Guangxu Shan, Shiyao Xu, Li Yang, Shengbin Jia, Yang Xiang

Expert Syst. Appl., 2020

A review: Knowledge reasoning over knowledge graph.

Xiaojun Chen, Shengbin Jia, Yang Xiang

Expert Syst. Appl., 2020

SDT: An integrated model for open-world knowledge graph reasoning.

Xiaojun Chen, Shengbin Jia, Ling Ding, Hong Shen, Yang Xiang

Expert Syst. Appl., 2020

Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text.

Shengbin Jia, Ling Ding, Xiaojun Chen, Yang Xiang

CoRR, 2020

Parasitic Neural Network for Zero-Shot Relation Extraction.

Shengbin Jia, Shijia E, Yang Xiang

CoRR, 2020

Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text.

Shengbin Jia, Ling Ding, Xiaojun Chen, Shijia E, Yang Xiang

Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, 2020

2019

Supervised Neural Models Revitalize the Open Relation Extraction.

Shengbin Jia, Shijia E, Yang Xiang

CoRR, 2019

Triple Trustworthiness Measurement for Knowledge Graph.

Shengbin Jia, Yang Xiang, Xiaojun Chen, Kun Wang, Shijia E

Proceedings of the World Wide Web Conference, 2019

2018

Data4TTMF_A Triple Trustworthiness Measurement Frame for Knowledge Graphs.

Shengbin Jia

Dataset, November, 2018

Chinese Open Relation Extraction and Knowledge Base Establishment.

Shengbin Jia, Shijia E, Maozhen Li, Yang Xiang

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2018

TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs.

Shengbin Jia, Yang Xiang, Xiaojun Chen, Shijia E

CoRR, 2018

Supervised Neural Models Revitalize the Open Relation Extraction.

Shengbin Jia, Yang Xiang, Xiaojun Chen

CoRR, 2018

2017

Study on the Chinese Word Semantic Relation Classification with Word Embedding.

E. Shijia, Shengbin Jia, Yang Xiang

Proceedings of the Natural Language Processing and Chinese Computing, 2017

2016

Knowledge Graph Embedding for Link Prediction and Triplet Classification.

E. Shijia, Shengbin Jia, Yang Xiang, Zilian Ji

Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016