| 2026 | ACL | Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement. | Hao Li, Yizheng Sun, Viktor Schlegel, Kailai Yang, Riza Batista-Navarro, Goran Nenadic |
| 2026 | EACL | Evaluation and LLM-Guided Learning of ICD Coding Rationales. | Mingyang Li, Viktor Schlegel, Tingting Mu, Wuraola Oyewusi, Kai Kang, Goran Nenadic |
| 2025 | CIKM | Evaluating Differentially Private Generation of Domain-Specific Text. | Yidan Sun, Viktor Schlegel, Srinivasan Kolumam Nandakumar, Iqra Zahid, Yuping Wu, Warren Del-Pinto, Goran Nenadic, Siew-Kei Lam, Jie Zhang, Anil A. Bharath |
| 2025 | ECAI | DocDiscNER: Enhanced Document-Level Discontinuous NER via Coordination Ellipses Resolution and Self-Consistency Decoding. | Areej Alhassan, Viktor Schlegel, Rina Carines Cabral, Riza Batista-Navarro, Soyeon Caren Han, Josiah Poon, Goran Nenadic |
| 2025 | ICML | BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling. | Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian |
| 2025 | NAACL | Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling. | Samuel Belkadi, Libo Ren, Nicolo Micheletti, Lifeng Han, Goran Nenadic |
| 2025 | NAACL | CAST: Corpus-Aware Self-similarity Enhanced Topic modelling. | Yanan Ma, Chenghao Xiao, Chenhan Yuan, Sabine N. van der Veer, Lamiece Hassan, Chenghua Lin, Goran Nenadic |
| 2025 | NAACL | INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Pre-Trained Language Models and Ensemble Learning. | Pablo Romero, Lifeng Han, Goran Nenadic |
| 2025 | WWW | TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition. | Rina Carines Cabral, Soyeon Caren Han, Areej Alhassan, Riza Batista-Navarro, Goran Nenadic, Josiah Poon |
| 2025 | SGAI | Neuro-Symbolic AI: Combining Neural and Symbolic AI for UK Syndromic Surveillance. | Mercedes Argello Casteleiro, Nava Maroto, Maria Jesus Fernandez Prieto, Yuan Wei, Peter-John Noble, Alan David Radford, Goran Nenadic |
| 2024 | ACL | Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. | Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic |
| 2024 | AMTA | CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations. | Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic |
| 2024 | AMTA | The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control. | Arle Lommel, Serge Gladkoff, Alan K. Melby, Sue Ellen Wright, Ingemar Strandvik, Katerina Gasova, Angelika Vaasa, Andy Benzo, Romina Marazzato Sparano, Monica Foresi, Johani Innis, Lifeng Han, Goran Nenadic |
| 2024 | EAMT | MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs. | Serge Gladkoff, Lifeng Han, Gleb Erofeev, Irina Sorokina, Goran Nenadic |
| 2024 | EAMT | CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models using Real and Synthetic Back-Translation Data. | Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic |
| 2023 | ACL | MedTem2.0: Prompt-based Temporal Classification of Treatment Events from Discharge Summaries. | Yang Cui, Lifeng Han, Goran Nenadic |
| 2023 | ACL | Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. | Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic |
| 2023 | CIKM | MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction. | Jie Yang, Soyeon Caren Han, Siqu Long, Josiah Poon, Goran Nenadic |
| 2023 | EACL | EDU-level Extractive Summarization with Varying Summary Lengths. | Yuping Wu, Ching-Hsun Tseng, Jiayu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng |
| 2023 | RANLP | Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce. | Serge Gladkoff, Lifeng Han, Goran Nenadic |
| 2023 | RANLP | AlphaMWE-Arabic: Arabic Edition of Multilingual Parallel Corpora with Multiword Expression Annotations. | Najet Hadj Mohamed, Malak Rassem, Lifeng Han, Goran Nenadic |
| 2022 | AMIA | Pandemic Planning using Text Analytics on Hospital Outpatient Letters: a Case Study on Covid-19 Shielding for Rheumatology Patients. | Meghna Jani, Ghada Alfattni, Maksim Belousov, Yuanyuan Zhang, Michael Cheng, Andrew S. Kanter, William G. Dixon, Goran Nenadic |
| 2021 | AAAI | Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. | Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro |
| 2020 | LREC | A Framework for Evaluation of Machine Reading Comprehension Gold Standards. | Viktor Schlegel, Marco Valentino, Andr Freitas, Goran Nenadic, Riza Batista-Navarro |
| 2019 | AMIA | Using Social Media to Study Mental Health Conditions - Challenges and Opportunities. | Vasa Curcin, Elizabeth Ford, Jyotishman Pathak, Goran Nenadic |
| 2019 | NLDB | From Web Crawled Text to Project Descriptions: Automatic Summarizing of Social Innovation Projects. | Nikola Milosevic, Dimitar Marinov, Abdullah Gk, Goran Nenadic |
| 2019 | SGAI | Exploring the Automatisation of Animal Health Surveillance Through Natural Language Processing. | Mercedes Argello Casteleiro, Phil H. Jones, Sara Robertson, Richard M. Irvine, Fin Twomey, Goran Nenadic |
| 2018 | NLDB | Classification of Intangible Social Innovation Concepts. | Nikola Milosevic, Abdullah Gk, Goran Nenadic |
| 2017 | AMIA | Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task. | Maksim Belousov, William G. Dixon, Goran Nenadic |
| 2016 | BigData | Towards Automatic Memory Tuning for In-Memory Big Data Analytics in Clusters. | Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane |
| 2016 | NLDB | Identification of Occupation Mentions in Clinical Narratives. | Azad Dehghan, Tom Liptrot, Daniel Tibble, Matthew Barker-Hewitt, Goran Nenadic |
| 2016 | NLDB | Disentangling the Structure of Tables in Scientific Literature. | Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic |
| 2016 | PACLIC | Inferring Methodological Meta-knowledge from Large Biomedical Corpora. | Goran Nenadic |
| 2015 | AIME | Contextualisation of Biomedical Knowledge Through Large-Scale Processing of Literature, Clinical Narratives and Social Media. | Goran Nenadic |
| 2015 | BigData | A Parallel Distributed Weka Framework for Big Data Mining Using Spark. | Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane |
| 2014 | NLDB | Identification of Multi-Focal Questions in Question and Answer Reports. | Mona Mohamed Zaki Ali, Goran Nenadic, Babis Theodoulidis |
| 2013 | SMC | Challenges in Clinical Named Entity Recognition for Decision Support. | Azad Dehghan, John A. Keane, Goran Nenadic |
| 2013 | SMC | A Bayesian Association Rule Mining Algorithm. | David Tian, Ann Gledson, Athos Antoniades, Aristos Aristodimou, Dimitrios Ntalaperas, Ratnesh Sahay, Jianxin Pan, Stavros Stivaros, Goran Nenadic, Xiao-Jun Zeng, John A. Keane |
| 2010 | ACL | Using SVMs with the Command Relation features to identify negated events in biomedical literature. | Farzaneh Sarafraz, Goran Nenadic |
| 2006 | LREC | Towards a terminological resource for biomedical text mining. | Goran Nenadic, Naoaki Okazaki, Sophia Ananiadou |
| 2004 | COLING | Enhancing automatic term recognition through recognition of variation. | Goran Nenadic, Sophia Ananiadou, John McNaught |
| 2004 | IJCNLP | Mining Biomedical Abstracts: What's in a Term? | Goran Nenadic, Irena Spasic, Sophia Ananiadou |
| 2004 | IDEAL | Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms.. | Irena Spasic, Goran Nenadic, Sophia Ananiadou |
| 2004 | LREC | Exploring Balkanet Shared Ontology for Multilingual Conceptual Indexing. | Sofia Stamou, Goran Nenadic, Dimitris Christodoulakis |
| 2003 | EACL | An Integrated Term-Based Corpus Query System. | Kostas Manios, Goran Nenadic, Irena Spasic, Sophia Ananiadou |
| 2003 | SAC | Terminology-driven Mining of Biomedical Literature. | Goran Nenadic, Irena Spasic, Sophia Ananiadou |
| 2002 | COLING | A Methodology for Terminology-based Knowledge Acquisition and Integration. | Hideki Mima, Sophia Ananiadou, Goran Nenadic, Jun'ichi Tsujii |
| 2002 | IDEAL | Supervised Learning of Term Similarities. | Irena Spasic, Goran Nenadic, Kostas Manios, Sophia Ananiadou |
| 2002 | LREC | Automatic Acronym Acquisition and Term Variation Management within Domain-Specific Texts. | Goran Nenadic, Irena Spasic, Sophia Ananiadou |
| 2002 | LREC | Tuning Context Features with Genetic Algorithms. | Irena Spasic, Goran Nenadic, Sophia Ananiadou |