Learning Structured Knowledge from Social Tagging Data: A Critical Review of Methods and Techniques. - Hang Dong 002; Wei Wang 042; Hai-Ning Liang (SmartCity, 2015)

Topic-graph based recommendation on social tagging systems: a study on research gate. - Yuyun Chen; Hang Dong 002; Wei Wang 042 (DSIT, 2018)

Rules for Inducing Hierarchies from Social Tagging Data. - Hang Dong 002; Wei Wang 042; Frans Coenen (iConference, 2018)

Learning Relations from Social Tagging Data. - Hang Dong 002; Wei Wang 042; Frans Coenen (PRICAI (1), 2018)

Joint Multi-Label Attention Networks for Social Text Annotation. - Hang Dong 002; Wei Wang 042; Kaizhu Huang; Frans Coenen (NAACL-HLT (1), 2019)

Motivations for self-archiving on an academic social networking site: A study on researchgate. - Jongwook Lee; Sanghee Oh; Hang Dong 002; Fang Wang; Gary Burnett (J. Assoc. Inf. Sci. Technol., 2019)

Knowledge base enrichment by relation learning from social tagging data. - Hang Dong 002; Wei Wang 042; Frans Coenen; Kaizhu Huang (Inf. Sci., 2020)

Learning and leveraging structured knowledge from user-generated social media data. - Hang Dong 002 (2020)

A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports. - Víctor Suárez-Paniagua; Hang Dong 002; Arlene Casey (CLEF (Working Notes), 2021)

Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. - Hang Dong 002; Víctor Suárez-Paniagua; Huayu Zhang; Minhong Wang 002; Emma Whitfield; Honghan Wu (EMBC, 2021)

CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification. - Matús Falis; Hang Dong 002; Alexandra Birch; Beatrice Alex (EMNLP (1), 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 002; Víctor Suárez-Paniagua; Claire Grover; Richard Tobin; Heather Whalley; Honghan Wu; Beatrice Alex; et al. (BMC Medical Imaging, 2021)

Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation. - Hang Dong 002; Víctor Suárez-Paniagua; William Whiteley; Honghan Wu (J. Biomed. Informatics, 2021)

A systematic review of natural language processing applied to radiology reports. - Arlene Casey; Emma M. Davidson; Michael Tin Chung Poon; Hang Dong 002; Daniel Duma; Andreas Grivas; Claire Grover; Víctor Suárez-Paniagua; Richard Tobin; William Whiteley; Honghan Wu; Beatrice Alex (BMC Medical Informatics Decis. Mak., 2021)

Automated Social Text Annotation With Joint Multilabel Attention Networks. - Hang Dong 002; Wei Wang 042; Kaizhu Huang; Frans Coenen (IEEE Trans. Neural Networks Learn. Syst., 2021)

Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding. - Matús Falis; Hang Dong 002; Alexandra Birch; Beatrice Alex (BioNLP@ACL, 2022)

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching. - Yuan He 008; Jiaoyan Chen 001; Hang Dong 002; Ernesto Jiménez-Ruiz; Ali Hadian 001; Ian Horrocks 001 (ISWC, 2022)

Results of the Ontology Alignment Evaluation Initiative 2022. - Mina Abd Nikooie Pour; Alsayed Algergawy; Patrice Buche; Leyla Jael Castro; Jiaoyan Chen 001; Hang Dong 002; Omaima Fallatah; Daniel Faria; Irini Fundulaki; Sven Hertling; Yuan He 008; Ian Horrocks 001; et al. (OM@ISWC, 2022)

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. - Qingyu Chen 001; Alexis Allot; Robert Leaman; Rezarta Islamaj; Jingcheng Du; Li Fang; Wang Kai; Shuo Xu 001; Yuefu Zhang; Parsa Bagherzadeh; Sabine Bergler; Aakash Bhatnagar; et al. (Database J. Biol. Databases Curation, 2022)

A Unified Review of Deep Learning for Automated Medical Coding. - Shaoxiong Ji; Wei Sun 046; Hang Dong 002; Honghan Wu; Pekka Marttinen (CoRR, 2022)

Contextual Semantic Embeddings for Ontology Subsumption Prediction. - Jiaoyan Chen 001; Yuan He 008; Ernesto Jiménez-Ruiz; Hang Dong 002; Ian Horrocks 001 (CoRR, 2022)

Automated Clinical Coding: What, Why, and Where We Are? - Hang Dong 002; Matús Falis; William Whiteley; Beatrice Alex; Shaoxiong Ji; Jiaoyan Chen 001; 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 001; Alexis Allot; Robert Leaman; Rezarta Islamaj Dogan; Jingcheng Du; Li Fang; Wang Kai; Shuo Xu 001; Yuefu Zhang; Parsa Bagherzadeh; Sabine Bergler; Aakash Bhatnagar; et al. (CoRR, 2022)

Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes. - Hang Dong 002; Víctor Suárez-Paniagua; Huayu Zhang; Minhong Wang 002; Arlene Casey; Emma M. Davidson; Jiaoyan Chen 001; Beatrice Alex; William Whiteley; Honghan Wu (CoRR, 2022)

Automated clinical coding: what, why, and where we are? - Hang Dong 002; Matús Falis; William Whiteley; Beatrice Alex; Joshua Matterson; Shaoxiong Ji; Jiaoyan Chen 001; Honghan Wu (npj Digit. Medicine, 2022)

A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. - Honghan Wu; Minhong Wang 002; Jinge Wu; Farah Francis; Yun-Hsuan Chang; Alex Shavick; Hang Dong 002; Michael Tin Chung Poon; Natalie K. Fitzpatrick; Adam P. Levine; Luke T. Slater; Alex Handy; et al. (npj Digit. Medicine, 2022)

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching. - Yuan He 008; Jiaoyan Chen 001; Hang Dong 002; Ernesto Jiménez-Ruiz; Ali Hadian 001; Ian Horrocks 001 (Zenodo, 2022)

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching. - Yuan He 008; Jiaoyan Chen 001; Hang Dong 002; Ernesto Jiménez-Ruiz; Ali Hadian 001; Ian Horrocks 001 (Zenodo, 2022)

Language Model Analysis for Ontology Subsumption Inference. - Yuan He 008; Jiaoyan Chen 001; Ernesto Jiménez-Ruiz; Hang Dong 002; Ian Horrocks 001 (ACL (Findings), 2023)

Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement. - Hang Dong 002; Jiaoyan Chen 001; Yuan He 008; Ian Horrocks 001 (CIKM, 2023)

Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking. - Hang Dong 002; Jiaoyan Chen 001; Yuan He 008; Yinan Liu 001; Ian Horrocks 001 (CIKM, 2023)

Subsumption Prediction for E-Commerce Taxonomies. - Jingchuan Shi; Jiaoyan Chen 001; Hang Dong 002; Ishita Khan; Lizzie Liang; Qunzhi Zhou; Zhe Wu; Ian Horrocks 001 (ESWC, 2023)

Results of the Ontology Alignment Evaluation Initiative 2023. - Mina Abd Nikooie Pour; Alsayed Algergawy; Patrice Buche; Leyla Jael Castro; Jiaoyan Chen 001; Adrien Coulet; Julien Cufi; Hang Dong 002; Omaima Fallatah; Daniel Faria; Irini Fundulaki; Sven Hertling; et al. (OM@ISWC, 2023)

Exploring Large Language Models for Ontology Alignment. - Yuan He 008; Jiaoyan Chen 001; Hang Dong 002; Ian Horrocks 001 (ISWC (Posters/Demos/Industry), 2023)

Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities. - Jiaoyan Chen 001; Hang Dong 002; Janna Hastings; Ernesto Jiménez-Ruiz; Vanessa López; Pierre Monnin; Catia Pesquita; Petr Skoda 001; Valentina Tamma (TGDK, 2023)

OntoLAMA: LAnguage Model Analysis for Ontology Subsumption Inference. - Yuan He 008; Jiaoyan Chen 001; Ernesto Jiménez-Ruiz; Hang Dong 002; Ian Horrocks 001 (Zenodo, 2023)

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement. - Hang Dong 002; Jiaoyan Chen 001; Yuan He 008; Ian Horrocks 001 (Zenodo, 2023)

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement. - Hang Dong 002; Jiaoyan Chen 001; Yuan He 008; Ian Horrocks 001 (Zenodo, 2023)

Bio-ML: Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching. - Yuan He 008; Jiaoyan Chen 001; Hang Dong 002; Ernesto Jiménez-Ruiz; Ali Hadian 001; Ian Horrocks 001 (Zenodo, 2023)

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement. - Hang Dong 002; Jiaoyan Chen 001; Yuan He 008; Ian Horrocks 001 (Zenodo, 2023)

Datasets for Out-of-KB Mention Discovery with Entity Linking. - Hang Dong 002; Jiaoyan Chen 001; Yuan He 008; Yinan Liu 001; Ian Horrocks 001 (Zenodo, 2023)

Contextual semantic embeddings for ontology subsumption prediction. - Jiaoyan Chen 001; Yuan He 008; Yuxia Geng; Ernesto Jiménez-Ruiz; Hang Dong 002; Ian Horrocks 001 (World Wide Web (WWW), 2023)

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement. - Hang Dong 002; Jiaoyan Chen 001; Yuan He 008; Ian Horrocks 001 (Zenodo, 2023)

Ontology-driven and weakly supervised rare disease identification from clinical notes. - Hang Dong 002; Víctor Suárez-Paniagua; Huayu Zhang; Minhong Wang 002; Arlene Casey; Emma M. Davidson; Jiaoyan Chen 001; Beatrice Alex; William Whiteley; Honghan Wu (BMC Medical Informatics Decis. Mak., 2023)

Ontology Text Alignment: Aligning Textual Content to Terminological Axioms. - Jieying Chen 001; Hang Dong 002; Jiaoyan Chen 001; Ian Horrocks 001 (ECAI, 2024)

A Language Model Based Framework for New Concept Placement in Ontologies. - Hang Dong 002; Jiaoyan Chen 001; Yuan He 008; Yongsheng Gao 005; Ian Horrocks 001 (ESWC (1), 2024)

Results of the Ontology Alignment Evaluation Initiative 2024. - Mina Abd Nikooie Pour; Alsayed Algergawy; Eva Blomqvist; Patrice Buche; Jiaoyan Chen 001; Adrien Coulet; Julien Cufi; Hang Dong 002; Daniel Faria; Lucas Ferraz; Pedro Giesteira Cotovio; Yuan He 008; et al. (OM@ISWC, 2024)

Taxonomy Completion via Implicit Concept Insertion. - Jingchuan Shi; Hang Dong 002; Jiaoyan Chen 001; Zhe Wu; Ian Horrocks 001 (WWW, 2024)

Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification. - Jinge Wu; Hang Dong 002; Zexi Li; Arijit Patra; Honghan Wu (CoRR, 2024)

Can GPT-3.5 generate and code discharge summaries? - Matús Falis; Aryo Pradipta Gema; Hang Dong 002; Luke Daines; Siddharth Basetti; Michael Holder; Rose S. Penfold; Alexandra Birch; Beatrice Alex (J. Am. Medical Informatics Assoc., 2024)

DeepOnto: A Python package for ontology engineering with deep learning. - Yuan He 008; Jiaoyan Chen 001; Hang Dong 002; Ian Horrocks 001; Carlo Allocca; Taehun Kim; Brahmananda Sapkota (Semantic Web, 2024)

Bio-ML: Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching. - Yuan He 008; Jiaoyan Chen 001; Hang Dong 002; Ernesto Jiménez-Ruiz; Ali Hadian 001; Ian Horrocks 001 (Zenodo, 2024)

A Unified Review of Deep Learning for Automated Medical Coding. - Shaoxiong Ji; Xiaobo Li 007; Wei Sun 046; Hang Dong 002; Ara Taalas; Yijia Zhang 001; Honghan Wu; Esa Pitkänen; Pekka Marttinen (ACM Comput. Surv., 2024)

A hybrid framework with large language models for rare disease phenotyping. - Jinge Wu; Hang Dong 002; Zexi Li; Haowei Wang; Runci Li; Arijit Patra; Chengliang Dai; Waqar Ali; Phil Scordis; Honghan Wu (BMC Medical Informatics Decis. Mak., 2024)

Robustness of Question Answering Systems in the Biomedical Domain: a study of the BioASQ dataset. - Andrew Reeves; Hang Dong 002 (ICIT, 2025)