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Dong, Hang ORCID: 0000-0001-6828-6891, Wang, Wei, Huang, Kaizhu and Coenen, Frans ORCID: 0000-0003-1026-6649
(2021)
Automated Social Text Annotation With Joint Multilabel Attention Networks.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 32 (5).
pp. 2224-2238.
Dong, Hang ORCID: 0000-0001-6828-6891, Wang, Wei, Huang, Kaizhu and Coenen, Frans ORCID: 0000-0003-1026-6649
(2019)
Joint Multi-Label Attention Networks for Social Text Annotation.
In: 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2019-6-2 - 2019-6-7, Minneapolis, USA.
Dong, Hang ORCID: 0000-0001-6828-6891, Wang, Wei, Coenen, Frans ORCID: 0000-0003-1026-6649 and Huang, Kaizhu
(2020)
Knowledge Base Enrichment by Relation Learning from Social Tagging Data.
Information Sciences, 526.
pp. 203-220.
Chen, Jiaoyan, Dong, Hang, Hastings, Janna, Jiménez-Ruiz, Ernesto, López, Vanessa, Monnin, Pierre, Pesquita, Catia, Skoda, Petr and Tamma, Valentina AM ORCID: 0000-0002-1320-610X
(2023)
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities.
TGDK, 1 (1).
5:1-5:1.
Dong, Hang ORCID: 0000-0001-6828-6891, Wang, Wei and Coenen, Frans ORCID: 0000-0003-1026-6649
(2018)
Learning Relations from Social Tagging Data.
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Dong, Hang ORCID: 0000-0001-6828-6891, Wang, Wei and Liang, Hai-Ning
(2015)
Learning Structured Knowledge from Social Tagging Data A critical review of methods and techniques.
In: 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015-12-19 - 2015-12-21.
Dong, Hang ORCID: 0000-0001-6828-6891
(2020)
Learning and Leveraging Structured Knowledge from User-Generated Social Media Data.
PhD thesis, University of Liverpool.
Dong, Hang ORCID: 0000-0001-6828-6891, Wang, Wei and Coenen, Frans ORCID: 0000-0003-1026-6649
(2018)
Rules for Inducing Hierarchies from Social Tagging Data.
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Chen, Yuyun, Dong, Hang ORCID: 0000-0001-6828-6891 and Wang, Wei
(2018)
Topic-graph based recommendation on social tagging systems.
In: DSIT2018: 2018 International Conference on Data Science and Information Technology.