Dongsheng Wang

Orcid: 0000-0002-0255-1936

Affiliations:
  • China University of Political Science and Law, Department of Science and Technology Teaching, Beijing, China
  • Peking University, School of Software and Microelectronics, Beijing, China


According to our database1, Dongsheng Wang authored at least 10 papers between 2016 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
2M-NER: contrastive learning for multilingual and multimodal NER with language and modal fusion.
Appl. Intell., April, 2024

2023
Focusing on Flexible Masks: A Novel Framework for Panoptic Scene Graph Generation with Relation Constraints.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2021
Learning with joint cross-document information via multi-task learning for named entity recognition.
Inf. Sci., 2021

Drug-Drug Interaction Extraction via Attentive Capsule Network with an Improved Sliding-Margin Loss.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Joint Cross-document Information for Named Entity Recognition with Multi-task Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Towards Bootstrapping Biomedical Named Entity Recognition using Reinforcement Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Chinese Medical Entity Annotation Based on Autonomous Learning.
Proceedings of the CSAI 2019: 2019 3rd International Conference on Computer Science and Artificial Intelligence, 2019

Named Entity Extraction for Chinese Electronic Medical Records.
Proceedings of the CSAI 2019: 2019 3rd International Conference on Computer Science and Artificial Intelligence, 2019

2017
Weakly-Supervised Named Entity Extraction Using Word Representations.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
Distributed XPath query processing over large XML data based on MapReduce framework.
Proceedings of the 12th International Conference on Natural Computation, 2016


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