Shengbin Jia

Orcid: 0000-0003-1534-1257

According to our database1, Shengbin Jia authored at least 17 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2022
Hybrid neural tagging model for open relation extraction.
Expert Syst. Appl., 2022

2021
Reasoning over temporal knowledge graph with temporal consistency constraints.
J. Intell. Fuzzy Syst., 2021

Parasitic Network: Zero-Shot Relation Extraction for Knowledge Graph Populating.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Learn#: A Novel incremental learning method for text classification.
Expert Syst. Appl., 2020

A review: Knowledge reasoning over knowledge graph.
Expert Syst. Appl., 2020

SDT: An integrated model for open-world knowledge graph reasoning.
Expert Syst. Appl., 2020

Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text.
CoRR, 2020

Parasitic Neural Network for Zero-Shot Relation Extraction.
CoRR, 2020

Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text.
Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, 2020

2019
Supervised Neural Models Revitalize the Open Relation Extraction.
CoRR, 2019

Triple Trustworthiness Measurement for Knowledge Graph.
Proceedings of the World Wide Web Conference, 2019

2018
Data4TTMF_A Triple Trustworthiness Measurement Frame for Knowledge Graphs.
Dataset, November, 2018

Chinese Open Relation Extraction and Knowledge Base Establishment.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2018

TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs.
CoRR, 2018

Supervised Neural Models Revitalize the Open Relation Extraction.
CoRR, 2018

2017
Study on the Chinese Word Semantic Relation Classification with Word Embedding.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

2016
Knowledge Graph Embedding for Link Prediction and Triplet Classification.
Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016


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