The Acquisition of Some Lexical Constraints from Corpora. - Goran Nenadic; Irena Spasic (TSD, 1999)

Recognition and Acquisition of Compound Names from Corpora. - Goran Nenadic; Irena Spasic (Natural Language Processing, 2000)

Local Grammars and Parsing Coordination of Nouns in Serbo-Croatian. - Goran Nenadic (TSD, 2000)

The ATRACT Workbench: Automatic Term Recognition and Clustering for Terms. - Hideki Mima; Sophia Ananiadou; Goran Nenadic (TSD, 2001)

A Methodology for Terminology-based Knowledge Acquisition and Integration. - Hideki Mima; Sophia Ananiadou; Goran Nenadic; Jun'ichi Tsujii (COLING, 2002)

Supervised Learning of Term Similarities. - Irena Spasic; Goran Nenadic; Kostas Manios; Sophia Ananiadou (IDEAL, 2002)

Automatic Acronym Acquisition and Term Variation Management within Domain-Specific Texts. - Goran Nenadic; Irena Spasic; Sophia Ananiadou (LREC, 2002)

Tuning Context Features with Genetic Algorithms. - Irena Spasic; Goran Nenadic; Sophia Ananiadou (LREC, 2002)

Term Clustering Using a Corpus-Based Similarity Measure. - Goran Nenadic; Irena Spasic; Sophia Ananiadou (TSD, 2002)

Terminology-driven literature mining and knowledge acquisition in biomedicine. - Goran Nenadic; Hideki Mima; Irena Spasic; Sophia Ananiadou; Jun'ichi Tsujii (Int. J. Medical Informatics, 2002)

Selecting Text Features for Gene Name Classification: from Documents to Terms. - Goran Nenadic; Simon B. Rice; Irena Spasic; Sophia Ananiadou; Benjamin J. Stapley (BioNLP@ACL, 2003)

Using Domain-Specific Verbs for Term Classification. - Irena Spasic; Goran Nenadic; Sophia Ananiadou (BioNLP@ACL, 2003)

An Integrated Term-Based Corpus Query System. - Kostas Manios; Goran Nenadic; Irena Spasic; Sophia Ananiadou (EACL, 2003)

Terminology-driven Mining of Biomedical Literature. - Goran Nenadic; Irena Spasic; Sophia Ananiadou (Bioinform., 2003)

Enhancing automatic term recognition through recognition of variation. - Goran Nenadic; Sophia Ananiadou; John McNaught (COLING, 2004)

Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms.. - Irena Spasic; Goran Nenadic; Sophia Ananiadou (IDEAL, 2004)

Mining Biomedical Abstracts: What's in a Term? - Goran Nenadic; Irena Spasic; Sophia Ananiadou (IJCNLP, 2004)

Exploring Balkanet Shared Ontology for Multilingual Conceptual Indexing. - Sofia Stamou; Goran Nenadic; Dimitris Christodoulakis (LREC, 2004)

Term identification in the biomedical literature. - Michael Krauthammer; Goran Nenadic (J. Biomed. Informatics, 2004)

Mining protein function from text using term-based support vector machines. - Simon B. Rice; Goran Nenadic; Benjamin J. Stapley (BMC Bioinform., 2005)

Annotation and Disambiguation of Semantic Types in Biomedical Text: A Cascaded Approach to Named Entity Recognition. - Dietrich Rebholz-Schuhmann; Harald Kirsch; Sylvain Gaudan; Miguel Arregui; Goran Nenadic (NLPXML@EACL, 2006)

Towards a terminological resource for biomedical text mining. - Goran Nenadic; Naoaki Okazaki; Sophia Ananiadou (LREC, 2006)

Mining semantically related terms from biomedical literature. - Goran Nenadic; Sophia Ananiadou (ACM Trans. Asian Lang. Inf. Process., 2006)

Identification of transcription factor contexts in literature using machine learning approaches. - Hui Yang 004; Goran Nenadic; John A. Keane (BMC Bioinform., 2008)

Biomedical Event Detection using Rules, Conditional Random Fields and Parse Tree Distances. - Farzaneh Sarafraz; James M. Eales; Reza Mohammadi; Jonathan E. Dickerson; David Robertson; Goran Nenadic (BioNLP@HLT-NAACL (Shared Task), 2009)

Mining Semantic Descriptions of Bioinformatics Web Resources from the Literature. - Hammad Afzal; Robert Stevens 001; Goran Nenadic (ESWC, 2009)

Research Paper: A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries. - Hui Yang 004; Irena Spasic; John A. Keane; Goran Nenadic (J. Am. Medical Informatics Assoc., 2009)

Assigning roles to protein mentions: The case of transcription factors. - Hui Yang 004; John A. Keane; Casey M. Bergman; Goran Nenadic (J. Biomed. Informatics, 2009)

Using SVMs with the Command Relation features to identify negated events in biomedical literature. - Farzaneh Sarafraz; Goran Nenadic (NeSp-NLP@ACL, 2010)

An Exploration of Mining Gene Expression Mentions and Their Anatomical Locations from Biomedical Text. - Martin Gerner; Goran Nenadic; Casey M. Bergman (BioNLP@ACL, 2010)

Identification of negated regulation events in the literature: exploring the feature space. - Farzaneh Sarafraz; Goran Nenadic (Semantic Mining in Biomedicine, 2010)

Biomedical Semantics: the Hub for Biomedical Research 2.0. - Dietrich Rebholz-Schuhmann; Goran Nenadic (J. Biomed. Semant., 2010)

LINNAEUS: A species name identification system for biomedical literature. - Martin Gerner; Goran Nenadic; Casey M. Bergman (BMC Bioinform., 2010)

Medication information extraction with linguistic pattern matching and semantic rules. - Irena Spasic; Farzaneh Sarafraz; John A. Keane; Goran Nenadic (J. Am. Medical Informatics Assoc., 2010)

The GNAT library for local and remote gene mention normalization. - Jörg Hakenberg; Martin Gerner; Maximilian Haeussler; Illés Solt; Conrad Plake; Michael Schroeder 001; Graciela Gonzalez 001; Goran Nenadic; Casey M. Bergman (Bioinform., 2011)

Mining semantic networks of bioinformatics e-resources from the literature. - Hammad Afzal; James M. Eales; Robert Stevens 001; Goran Nenadic (J. Biomed. Semant., 2011)

Towards semi-automated curation: using text mining to recreate the HIV-1, human protein interaction database. - Daniel G. Jamieson; Martin Gerner; Farzaneh Sarafraz; Goran Nenadic; David L. Robertson (Database J. Biol. Databases Curation, 2012)

BioContext: an integrated text mining system for large-scale extraction and contextualization of biomolecular events. - Martin Gerner; Farzaneh Sarafraz; Casey M. Bergman; Goran Nenadic (Bioinform., 2012)

Mining methodologies from NLP publications: A case study in automatic terminology recognition. - Aleksandar Kovacevic; Zora Konjovic; Branko Milosavljevic; Goran Nenadic (Comput. Speech Lang., 2012)

ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge. - Michele Filannino; Gavin Brown 001; Goran Nenadic (SemEval@NAACL-HLT, 2013)

Challenges in Clinical Named Entity Recognition for Decision Support. - Azad Dehghan; John A. Keane; Goran Nenadic (SMC, 2013)

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 (SMC, 2013)

Literature Mining Solutions for Life Science Research. - Jörg Hakenberg; Goran Nenadic; Dietrich Rebholz-Schuhmann; Jin-Dong Kim (Adv. Bioinformatics, 2013)

Cataloging the biomedical world of pain through semi-automated curation of molecular interactions. - Daniel G. Jamieson; Phoebe M. Roberts; David L. Robertson; Ben Sidders; Goran Nenadic (Database J. Biol. Databases Curation, 2013)

bioNerDS: exploring bioinformatics' database and software use through literature mining. - Geraint Duck; Goran Nenadic; Andy Brass; David L. Robertson; Robert Stevens 001 (BMC Bioinform., 2013)

PathNER: a tool for systematic identification of biological pathway mentions in the literature. - Chengkun Wu; Jean-Marc Schwartz; Goran Nenadic (BMC Syst. Biol., 2013)

Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives. - Aleksandar Kovacevic; Azad Dehghan; Michele Filannino; John A. Keane; Goran Nenadic (J. Am. Medical Informatics Assoc., 2013)

Identification of Multi-Focal Questions in Question and Answer Reports. - Mona Mohamed Zaki Ali; Goran Nenadic; Babis Theodoulidis (NLDB, 2014)

Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge. - Michele Filannino; Goran Nenadic (NTCIR, 2014)

Extracting patterns of database and software usage from the bioinformatics literature. - Geraint Duck; Goran Nenadic; Andy Brass; David L. Robertson; Robert Stevens 001 (Bioinform., 2014)

Mining characteristics of epidemiological studies from Medline: a case study in obesity. - George Karystianis; Iain E. Buchan; Goran Nenadic (J. Biomed. Semant., 2014)

Text mining of cancer-related information: Review of current status and future directions. - Irena Spasic; Jacqueline Livsey; John A. Keane; Goran Nenadic (Int. J. Medical Informatics, 2014)

Contextualisation of Biomedical Knowledge Through Large-Scale Processing of Literature, Clinical Narratives and Social Media. - Goran Nenadic (AIME, 2015)

A Parallel Distributed Weka Framework for Big Data Mining Using Spark. - Aris-Kyriakos Koliopoulos; Paraskevas Yiapanis; Firat Tekiner; Goran Nenadic; John A. Keane (BigData Congress, 2015)

Ambiguity and variability of database and software names in bioinformatics. - Geraint Duck; Aleksandar Kovacevic; David L. Robertson; Robert Stevens 001; Goran Nenadic (J. Biomed. Semant., 2015)

Temporal expression extraction with extensive feature type selection and a posteriori label adjustment. - Michele Filannino; Goran Nenadic (Data Knowl. Eng., 2015)

Combining knowledge- and data-driven methods for de-identification of clinical narratives. - Azad Dehghan; Aleksandar Kovacevic; George Karystianis; John A. Keane; Goran Nenadic (J. Biomed. Informatics, 2015)

Using local lexicalized rules to identify heart disease risk factors in clinical notes. - George Karystianis; Azad Dehghan; Aleksandar Kovacevic; John A. Keane; Goran Nenadic (J. Biomed. Informatics, 2015)

Towards Automatic Memory Tuning for In-Memory Big Data Analytics in Clusters. - Aris-Kyriakos Koliopoulos; Paraskevas Yiapanis; Firat Tekiner; Goran Nenadic; John A. Keane (BigData Congress, 2016)

Extracting Patient Data from Tables in Clinical Literature - Case Study on Extraction of BMI, Weight and Number of Patients. - Nikola Milosevic; Cassie Gregson; Robert Hernandez; Goran Nenadic (HEALTHINF, 2016)

Identification of Occupation Mentions in Clinical Narratives. - Azad Dehghan; Tom Liptrot; Daniel Tibble; Matthew Barker-Hewitt; Goran Nenadic (NLDB, 2016)

Disentangling the Structure of Tables in Scientific Literature. - Nikola Milosevic; Cassie Gregson; Robert Hernandez; Goran Nenadic (NLDB, 2016)

Deep Learning meets Semantic Web: A feasibility study with the Cardiovascular Disease Ontology and PubMed citations. - Mercedes Argüello Casteleiro; George Demetriou; Warren J. Read; Maria Jesus Fernandez Prieto; Diego Maseda-Fernandez; Goran Nenadic; Julie Klein 002; John A. Keane; Robert Stevens 001 (ODLS, 2016)

Inferring Methodological Meta-knowledge from Large Biomedical Corpora. - Goran Nenadic (PACLIC, 2016)

Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed. - Mercedes Argüello Casteleiro; Maria Jesus Fernandez Prieto; George Demetriou; Nava Maroto; Warren J. Read; Diego Maseda-Fernandez; Jose Julio Des Diz; Goran Nenadic; John A. Keane; Robert Stevens 001 (SWAT4LS, 2016)

The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing. - Warren J. Read; George Demetriou; Goran Nenadic; Noel Ruddock; Robert Stevens 001; Jerry Winter (J. Biomed. Semant., 2016)

As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian. - Nikola Milosevic; Goran Nenadic (CoRR, 2016)

Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database. - George Karystianis; Therese Sheppard; William G. Dixon; Goran Nenadic (BMC Medical Informatics Decis. Mak., 2016)

Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task. - Maksim Belousov; William G. Dixon; Goran Nenadic (SMM4H@AMIA, 2017)

Extraction of Drug-Drug Interactions from Drug Product Labeling Tables. - Nikola Milosevic; Anay Gupta; Austin Chen; Steven DeMarco; Joshua P. Le; Jodi Schneider; Yifan Ning; Goran Nenadic; Richard D. Boyce (CRI, 2017)

Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources. - Mercedes Argüello Casteleiro; Catalina Martínez-Costa; Jose Julio Des Diz; Maria Jesus Fernandez Prieto; Chris Wroe; Diego Maseda-Fernandez; George Demetriou; Goran Nenadic; John A. Keane; Stefan Schulz 001; Robert Stevens 001 (SWAT4LS, 2017)

Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017. - Maksim Belousov; Nikola Milosevic; William G. Dixon; Goran Nenadic (TAC, 2017)

Classification of Intangible Social Innovation Concepts. - Nikola Milosevic; Abdullah Gök; Goran Nenadic (NLDB, 2018)

Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature. - Mercedes Argüello Casteleiro; George Demetriou; Warren J. Read; Maria Jesus Fernandez Prieto; Nava Maroto; Diego Maseda-Fernandez; Goran Nenadic; Julie Klein 002; John A. Keane; Robert Stevens 001 (J. Biomed. Semant., 2018)

Using set theory to reduce redundancy in pathway sets. - Ruth Alexandra Stoney; Jean-Marc Schwartz; David L. Robertson; Goran Nenadic (BMC Bioinform., 2018)

Creating a contemporary corpus of similes in Serbian by using natural language processing. - Nikola Milosevic; Goran Nenadic (CoRR, 2018)

Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools. - Mohammadali Tavakoli; Liping Zhao 001; Atefeh Heydari; Goran Nenadic (Expert Syst. Appl., 2018)

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. - Abeed Sarker; Maksim Belousov; Jasper Friedrichs; Kai Hakala; Svetlana Kiritchenko; Farrokh Mehryary; Sifei Han; Tung Tran 001; Anthony Rios; Ramakanth Kavuluru; Berry de Bruijn; Filip Ginter; et al. (J. Am. Medical Informatics Assoc., 2018)

Author Correction: Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts. - Rikesh Patel; Maksim Belousov; Meghna Jani; Nabarun Dasgupta; Carly Winokur; Goran Nenadic; William G. Dixon (npj Digit. Medicine, 2018)

Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts. - Rikesh Patel; Maksim Belousov; Meghna Jani; Nabarun Dasgupta; Carly Winokur; Goran Nenadic; William G. Dixon (npj Digit. Medicine, 2018)

Using Social Media to Study Mental Health Conditions - Challenges and Opportunities. - Vasa Curcin; Elizabeth Ford; Jyotishman Pathak; Goran Nenadic (AMIA, 2019)

Wind Turbine operational state prediction: towards featureless, end-to-end predictive maintenance. - Adrian Stetco; Anees Mohammed; Sinisa Djurovic; Goran Nenadic; John A. Keane (IEEE BigData, 2019)

Using machine learning and text mining to classify fuzzy social science phenomenon: the case of social innovation. - Abdullah Gök; Nikola Milosevic; Goran Nenadic (ISSI, 2019)

From Web Crawled Text to Project Descriptions: Automatic Summarizing of Social Innovation Projects. - Nikola Milosevic; Dimitar Marinov; Abdullah Gök; Goran Nenadic (NLDB, 2019)

Exploring the Automatisation of Animal Health Surveillance Through Natural Language Processing. - Mercedes Argüello Casteleiro; Phil H. Jones; Sara Robertson; Richard M. Irvine; Fin Twomey; Goran Nenadic (SGAI Conf., 2019)

MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation. - Maksim Belousov; William G. Dixon; Goran Nenadic (SMM4H@ACL, 2019)

Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes. - Mercedes Argüello Casteleiro; Robert Stevens 001; Jose Julio Des Diz; Chris Wroe; Maria Jesus Fernandez Prieto; Nava Maroto; Diego Maseda-Fernandez; George Demetriou; Simon Peters; Peter-J. Noble; Phil H. Jones; Jo Dukes-McEwan; et al. (J. Biomed. Semant., 2019)

GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries. - Maksim Belousov; Nikola Milosevic; Ghada Alfattni; Haifa Alrdahi; Goran Nenadic (CoRR, 2019)

A framework for information extraction from tables in biomedical literature. - Nikola Milosevic; Cassie Gregson; Robert Hernandez; Goran Nenadic (Int. J. Document Anal. Recognit., 2019)

An efficient representation of chronological events in medical texts. - Andrey Kormilitzin; Nemanja Vaci; Qiang Liu 009; Hao Ni 001; Goran Nenadic; Alejo J. Nevado-Holgado (LOUHI@EMNLP, 2020)

A Framework for Evaluation of Machine Reading Comprehension Gold Standards. - Viktor Schlegel; Marco Valentino; André Freitas; Goran Nenadic; Riza Batista-Navarro (LREC, 2020)

MASK: A flexible framework to facilitate de-identification of clinical texts. - Nikola Milosevic; Gangamma Kalappa; Hesam Dadafarin; Mahmoud Azimaee; Goran Nenadic (CoRR, 2020)

Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models. - Viktor Schlegel; Goran Nenadic; Riza Batista-Navarro (CoRR, 2020)

Extraction of temporal relations from clinical free text: A systematic review of current approaches. - Ghada Alfattni; Niels Peek; Goran Nenadic (J. Biomed. Informatics, 2020)

Detecting bursty terms in computer science research. - Emma Tattershall; Goran Nenadic; Robert D. Stevens 001 (Scientometrics, 2020)

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. - Viktor Schlegel; Goran Nenadic; Riza Batista-Navarro (AAAI, 2021)

Mining a stroke knowledge graph from literature. - Xi Yang 020; Chengkun Wu; Goran Nenadic; Wei Wang 169; Kai Lu 001 (BMC Bioinform., 2021)

Correction to: Mining a stroke knowledge graph from literature. - Xi Yang 020; Chengkun Wu; Goran Nenadic; Wei Wang 169; Kai Lu 001 (BMC Bioinform., 2021)

Corrigendum to "Extraction of temporal relations from clinical free text: A systematic review of current approaches" [J. Biomed. Inf. 108 (2020) 103488]. - Ghada Alfattni; Niels Peek; Goran Nenadic (J. Biomed. Informatics, 2021)

Attention-based bidirectional long short-term memory networks for extracting temporal relationships from clinical discharge summaries. - Ghada Alfattni; Niels Peek; Goran Nenadic (J. Biomed. Informatics, 2021)

Modelling trend life cycles in scientific research using the Logistic and Gompertz equations. - Emma Tattershall; Goran Nenadic; Robert Stevens 001 (Scientometrics, 2021)

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 (AMIA, 2022)

Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about It. - Lifeng Han; Gleb Erofeev; Irina Sorokina; Serge Gladkoff; Goran Nenadic (WMT, 2022)

Using Massive Multilingual Pre-Trained Language Models Towards Real Zero-Shot Neural Machine Translation in Clinical Domain. - Lifeng Han; Gleb Erofeev; Irina Sorokina; Serge Gladkoff; Goran Nenadic (CoRR, 2022)

On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning? - Yuping Wu 001; Lifeng Han; Valerio Antonini; Goran Nenadic (CoRR, 2022)

Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning. - Lifeng Han; Gleb Erofeev; Irina Sorokina; Serge Gladkoff; Goran Nenadic (ClinicalNLP@ACL, 2023)

MedTem2.0: Prompt-based Temporal Classification of Treatment Events from Discharge Summaries. - Yang Cui; Lifeng Han; Goran Nenadic (ACL (student), 2023)

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. - Hao Li 074; Viktor Schlegel; Riza Batista-Navarro; Goran Nenadic (ACL (1), 2023)

Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition. - Samuel Belkadi; Lifeng Han; Yuping Wu 001; Goran Nenadic (IEEE Big Data, 2023)

Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models. - Hangyu Tu; Lifeng Han; Goran Nenadic (IEEE Big Data, 2023)

Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Xiao-Jun Zeng; Daniel Beck; Stefan Winkler 001; Goran Nenadic (BioNLP@ACL, 2023)

MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction. - Jie Yang; Soyeon Caren Han; Siqu Long; Josiah Poon; Goran Nenadic (CIKM, 2023)

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. - Viktor Schlegel; Hao Li 074; Yuping Wu 001; Anand Subramanian 004; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Daniel Beck; Xiao-Jun Zeng; Riza Theresa Batista-Navarro; Stefan Winkler 001; Goran Nenadic (CLEF (Working Notes), 2023)

EDU-level Extractive Summarization with Varying Summary Lengths. - Yuping Wu 001; Ching-Hsun Tseng; Jiayu Shang; Shengzhong Mao; Goran Nenadic; Xiao-Jun Zeng (EACL (Findings), 2023)

Towards Principles of Ontology-Based Annotation of Clinical Narratives. - Stefan Schulz 001; Warren Del-Pinto; Lifeng Han; Markus Kreuzthaler; Sareh Aghaei Dinani; Goran Nenadic (ICBO, 2023)

Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method. - Bernadeta Griciute; Lifeng Han; Goran Nenadic (ICHI, 2023)

Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce. - Serge Gladkoff; Lifeng Han; Goran Nenadic (RANLP, 2023)

AlphaMWE-Arabic: Arabic Edition of Multilingual Parallel Corpora with Multiword Expression Annotations. - Najet Hadj Mohamed; Malak Rassem; Lifeng Han; Goran Nenadic (RANLP, 2023)

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Xiao-Jun Zeng; Daniel Beck; Stefan Winkler 001; Goran Nenadic (CoRR, 2023)

Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data? - Serge Gladkoff; Gleb Erofeev; Lifeng Han; Goran Nenadic (CoRR, 2023)

MedMine: Examining Pre-trained Language Models on Medication Mining. - Haifa Alrdahi; Lifeng Han; Hendrik Suvalov; Goran Nenadic (CoRR, 2023)

Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (CoRR, 2023)

Generating Medical Instructions with Conditional Transformer. - Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Warren Del-Pinto; Goran Nenadic (CoRR, 2023)

Exploring the Consistency, Quality and Challenges in Manual and Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters. - Warren Del-Pinto; George Demetriou; Meghna Jani; Rikesh Patel; Leanne Gray; Alex Bulcock; Niels Peek; Andrew S. Kanter; William G. Dixon; Goran Nenadic (CoRR, 2023)

A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding. - Viktor Schlegel; Goran Nenadic; Riza Batista-Navarro (Nat. Lang. Eng., 2023)

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Tharindu Madusanka; Iqra Zahid; Jiayan Zeng; Xiaochi Wang; Xinran He; Yizhi Li; Goran Nenadic (ACL (Findings), 2024)

CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (AMTA (2), 2024)

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; et al. (AMTA (2), 2024)

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 (EAMT (1), 2024)

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 (EAMT (1), 2024)

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (ICHI, 2024)

De-identification of clinical free text using natural language processing: A systematic review of current approaches. - Aleksandar Kovacevic; Bojana Basaragin; Nikola Milosevic; Goran Nenadic (Artif. Intell. Medicine, 2024)

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (CoRR, 2024)

CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (CoRR, 2024)

Exploration of Masked and Causal Language Modelling for Text Generation. - Nicolo Micheletti; Samuel Belkadi; Lifeng Han; Goran Nenadic (CoRR, 2024)

A Comparative Study on Automatic Coding of Medical Letters with Explainability. - Jamie Glen; Lifeng Han; Paul Rayson; Goran Nenadic (CoRR, 2024)

BeeManc at the PLABA Track of TAC-2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (CoRR, 2024)

Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension. - Viktor Schlegel; Goran Nenadic; Riza Batista-Navarro (CoRR, 2024)

Synthetic4Health: Generating Annotated Synthetic Clinical Letters. - Libo Ren; Samuel Belkadi; Lifeng Han; Warren Del-Pinto; Goran Nenadic (CoRR, 2024)

Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework. - Yuping Wu 001; Hao Li 074; Hongbo Zhu; Goran Nenadic; Xiao-Jun Zeng (CoRR, 2024)

LLM-CARD: Towards a Description and Landscape of Large Language Models. - Shengwei Tian; Lifeng Han; Erick Mendez Guzman; Goran Nenadic (CoRR, 2024)

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning. - Pablo Romero; Lifeng Han; Goran Nenadic (CoRR, 2024)

DeIDClinic: A Multi-Layered Framework for De-identification of Clinical Free-text Data. - Angel Paul; Dhivin Shaji; Lifeng Han; Warren Del-Pinto; Goran Nenadic (CoRR, 2024)

BeeManc at the PLABA Track of TAC-2024: RoBERTa for task 1 - LLaMA3.1 and GPT-4o for task 2. - Zhidong Ling; Zihao Li; Pablo Romero; Lifeng Han; Goran Nenadic (CoRR, 2024)

Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning. - Lifeng Han; Serge Gladkoff; Gleb Erofeev; Irina Sorokina; Betty Galiano; Goran Nenadic (Frontiers Digit. Health, 2024)

Our Heritage, Our Stories: developing AI tools to link and support community-generated digital cultural heritage. - Ewan David Hannaford; Viktor Schlegel; Rhiannon Lewis; Stefan Ramsden; Jenny Bunn; John Moore; Marc Alexander; Hannah Barker; Riza Batista-Navarro; Lorna M. Hughes; Goran Nenadic (J. Documentation, 2024)

MM-EMOG: Multi-Label Emotion Graph Representation for Mental Health Classification on Social Media. - Rina Carines Cabral; Soyeon Caren Han; Josiah Poon; Goran Nenadic (Robotics, 2024)

MLM4SynMed: Masked Language Modelling for Synthetic Free-text Medical Records Generation. - Samuel Belkadi; Libo Ren; Nicolo Micheletti; Lifeng Han; Goran Nenadic (ICHI, 2025)

De-identifying Clinical Texts using Biomed-Clinical BERTs and Comprehensive Risk Assessment. - Dhivin Shaji; Angel Paul; Lifeng Han; Warren Del-Pinto; Goran Nenadic; Suzan Verberne (ICHI, 2025)

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 (NAACL (Student Research Workshop), 2025)

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 (NAACL (Long Papers), 2025)

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Pre-Trained Language Models and Ensemble Learning. - Pablo Romero; Lifeng Han; Goran Nenadic (NAACL (Student Research Workshop), 2025)

UOM at the NTCIR-18 RadNLP Task. - Wuraola Oyewusi; Eliana M. Vasquez Osorio; Gareth Price; Goran Nenadic (NTCIR, 2025)

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 (WWW, 2025)

Discontinuous named entities in clinical text: A systematic literature review. - Areej Alhassan; Viktor Schlegel; Monira Aloud; Riza Batista-Navarro; Goran Nenadic (J. Biomed. Informatics, 2025)

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling. - Hao Li 074; Yu-Hao Huang 002; Chang Xu 008; Viktor Schlegel; Ren-He Jiang; Riza Batista-Navarro; Goran Nenadic; Jiang Bian 002 (CoRR, 2025)

Will Large Language Models Transform Clinical Prediction? - Yusuf Yildiz; Goran Nenadic; Meghna Jani; David A. Jenkins (CoRR, 2025)

Large Language Models in Argument Mining: A Survey. - Hao Li 074; Viktor Schlegel; Yizheng Sun; Riza Batista-Navarro; Goran Nenadic (CoRR, 2025)

Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement. - Hao Li 074; Yizheng Sun; Viktor Schlegel; Kailai Yang; Riza Batista-Navarro; Goran Nenadic (CoRR, 2025)