Hang Dong

According to our database, Hang Dong authored at least 51 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A hybrid framework with large language models for rare disease phenotyping.

Jinge Wu, Hang Dong, Zexi Li, Haowei Wang, Runci Li, Arijit Patra, Chengliang Dai, Waqar Ali, Phil Scordis, Honghan Wu

BMC Medical Informatics Decis. Mak., December, 2024

DeepOnto: A Python package for ontology engineering with deep learning.

Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks, Carlo Allocca, Taehun Kim, Brahmananda Sapkota

Semantic Web, 2024

Can GPT-3.5 generate and code discharge summaries?

Matús Falis, Aryo Pradipta Gema, Hang Dong, Luke Daines, Siddharth Basetti, Michael Holder, Rose S. Penfold, Alexandra Birch, Beatrice Alex

J. Am. Medical Informatics Assoc., 2024

Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification.

Jinge Wu, Hang Dong, Zexi Li, Arijit Patra, Honghan Wu

CoRR, 2024

Taxonomy Completion via Implicit Concept Insertion.

Jingchuan Shi, Hang Dong, Jiaoyan Chen, Zhe Wu, Ian Horrocks

Proceedings of the ACM on Web Conference 2024, 2024

A Language Model Based Framework for New Concept Placement in Ontologies.

Hang Dong, Jiaoyan Chen, Yuan He, Yongsheng Gao, Ian Horrocks

Proceedings of the Semantic Web - 21st International Conference, 2024

Ontology Text Alignment: Aligning Textual Content to Terminological Axioms.

Jieying Chen, Hang Dong, Jiaoyan Chen, Ian Horrocks

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Ontology-driven and weakly supervised rare disease identification from clinical notes.

Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu

BMC Medical Informatics Decis. Mak., December, 2023

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement.

Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks

Dataset, December, 2023

Contextual semantic embeddings for ontology subsumption prediction.

Jiaoyan Chen, Yuan He, Yuxia Geng, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks

World Wide Web (WWW), September, 2023

Datasets for Out-of-KB Mention Discovery with Entity Linking.

Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu, Ian Horrocks

Dataset, August, 2023

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement.

Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks

Dataset, August, 2023

Bio-ML: Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching.

Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jiménez-Ruiz, Ali Hadian, Ian Horrocks

Dataset, July, 2023

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement.

Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks

Dataset, June, 2023

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement.

Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks

Dataset, June, 2023

OntoLAMA: LAnguage Model Analysis for Ontology Subsumption Inference.

Yuan He, Jiaoyan Chen, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks

Dataset, March, 2023

Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities.

Jiaoyan Chen, Hang Dong, Janna Hastings, Ernesto Jiménez-Ruiz, Vanessa López, Pierre Monnin, Catia Pesquita, Petr Skoda, Valentina A. M. Tamma

TGDK, 2023

Exploring Large Language Models for Ontology Alignment.

Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks

Proceedings of the ISWC 2023 Posters, 2023

Results of the Ontology Alignment Evaluation Initiative 2023.

Mina Abd Nikooie Pour, Alsayed Algergawy, Patrice Buche, Leyla Jael Castro, Jiaoyan Chen, Adrien Coulet, Julien Cufi, Hang Dong, Omaima Fallatah, Daniel Faria, Irini Fundulaki, Sven Hertling, Yuan He, Ian Horrocks, Martin Huschka, Liliana Ibanescu, Sarika Jain, Ernesto Jiménez-Ruiz, Naouel Karam, Patrick Lambrix, Huanyu Li, Ying Li, Pierre Monnin, Engy Nasr, Heiko Paulheim, Catia Pesquita, Tzanina Saveta, Pavel Shvaiko, Guilherme Sousa, Cássia Trojahn, Jana Vatascinová, Mingfang Wu, Beyza Yaman, Ondrej Zamazal, Lu Zhou

Proceedings of the 18th International Workshop on Ontology Matching co-located with the 22nd International Semantic Web Conference (ISWC 2023), 2023

Subsumption Prediction for E-Commerce Taxonomies.

Jingchuan Shi, Jiaoyan Chen, Hang Dong, Ishita Khan, Lizzie Liang, Qunzhi Zhou, Zhe Wu, Ian Horrocks

Proceedings of the Semantic Web - 20th International Conference, 2023

Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking.

Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu, Ian Horrocks

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement.

Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Language Model Analysis for Ontology Subsumption Inference.

Yuan He, Jiaoyan Chen, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching.

Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jiménez-Ruiz, Ali Hadian, Ian Horrocks

Dataset, July, 2022

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching.

Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jiménez-Ruiz, Ali Hadian, Ian Horrocks

Dataset, July, 2022

A survey on clinical natural language processing in the United Kingdom from 2007 to 2022.

Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, Michael Tin Chung Poon, Natalie K. Fitzpatrick, Adam P. Levine, Luke T. Slater, Alex Handy, Andreas Karwath, Georgios V. Gkoutos, Claude Chelala, Anoop D. Shah, Robert Stewart, Nigel Collier, Beatrice Alex, William Whiteley, Cathie Sudlow, Angus Roberts, Richard J. B. Dobson

npj Digit. Medicine, 2022

Automated clinical coding: what, why, and where we are?

Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu

npj Digit. Medicine, 2022

Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes.

Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu

CoRR, 2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.

Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Dogan, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Zhiyong Lu

CoRR, 2022

Automated Clinical Coding: What, Why, and Where We Are?

Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu

CoRR, 2022

Contextual Semantic Embeddings for Ontology Subsumption Prediction.

Jiaoyan Chen, Yuan He, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks

CoRR, 2022

A Unified Review of Deep Learning for Automated Medical Coding.

Shaoxiong Ji, Wei Sun, Hang Dong, Honghan Wu, Pekka Marttinen

CoRR, 2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.

Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Saipradeep Vg, Zhiyong Lu

Database J. Biol. Databases Curation, 2022

Results of the Ontology Alignment Evaluation Initiative 2022.

Mina Abd Nikooie Pour, Alsayed Algergawy, Patrice Buche, Leyla Jael Castro, Jiaoyan Chen, Hang Dong, Omaima Fallatah, Daniel Faria, Irini Fundulaki, Sven Hertling, Yuan He, Ian Horrocks, Martin Huschka, Liliana Ibanescu, Ernesto Jiménez-Ruiz, Naouel Karam, Amir Laadhar, Patrick Lambrix, Huanyu Li, Ying Li, Franck Michel, Engy Nasr, Heiko Paulheim, Catia Pesquita, Tzanina Saveta, Pavel Shvaiko, Cássia Trojahn, Chantelle Verhey, Mingfang Wu, Beyza Yaman, Ondrej Zamazal, Lu Zhou

Proceedings of the 17th International Workshop on Ontology Matching (OM 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), 2022

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching.

Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jiménez-Ruiz, Ali Hadian, Ian Horrocks

Proceedings of the Semantic Web - ISWC 2022, 2022

Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding.

Matús Falis, Hang Dong, Alexandra Birch, Beatrice Alex

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2021

Automated Social Text Annotation With Joint Multilabel Attention Networks.

Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen

IEEE Trans. Neural Networks Learn. Syst., 2021

A systematic review of natural language processing applied to radiology reports.

Arlene Casey, Emma M. Davidson, Michael Tin Chung Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex

BMC Medical Informatics Decis. Mak., 2021

Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation.

Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu

J. Biomed. Informatics, 2021

The reporting quality of natural language processing studies: systematic review of studies of radiology reports.

Emma M. Davidson, Michael Tin Chung Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong, Víctor Suárez-Paniagua, Claire Grover, Richard Tobin, Heather Whalley, Honghan Wu, Beatrice Alex, William Whiteley

BMC Medical Imaging, 2021

CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification.

Matús Falis, Hang Dong, Alexandra Birch, Beatrice Alex

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision.

Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports.

Víctor Suárez-Paniagua, Hang Dong, Arlene Casey

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

Learning and leveraging structured knowledge from user-generated social media data.

Hang Dong

PhD thesis, 2020

Knowledge base enrichment by relation learning from social tagging data.

Hang Dong, Wei Wang, Frans Coenen, Kaizhu Huang

Inf. Sci., 2020

2019

Motivations for self-archiving on an academic social networking site: A study on researchgate.

Jongwook Lee, Sanghee Oh, Hang Dong, Fang Wang, Gary Burnett

J. Assoc. Inf. Sci. Technol., 2019

Joint Multi-Label Attention Networks for Social Text Annotation.

Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Learning Relations from Social Tagging Data.

Hang Dong, Wei Wang, Frans Coenen

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Rules for Inducing Hierarchies from Social Tagging Data.

Hang Dong, Wei Wang, Frans Coenen

Proceedings of the Transforming Digital Worlds - 13th International Conference, 2018

Topic-graph based recommendation on social tagging systems: a study on research gate.

Yuyun Chen, Hang Dong, Wei Wang

Proceedings of the 2018 International Conference on Data Science and Information Technology, 2018

2015

Learning Structured Knowledge from Social Tagging Data: A Critical Review of Methods and Techniques.

Hang Dong, Wei Wang, Hai-Ning Liang

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015