Goran Nenadic

203 papers A* 3A 4B 14C 8Misc 5Journal 115Unranked 53
YearRankTypeTitle / Venue / Authors
2026 J jnl
A practical and nuanced framework for entity linking evaluation.
J. Biomed. Semant.
Fuqi Xu, Goran Nenadic, Robert Stevens
2026 — conf
Evaluation and LLM-Guided Learning of ICD Coding Rationales.
EACL (Volume 1: Long Papers)
Mingyang Li, Viktor Schlegel, Tingting Mu, Wuraola Oyewusi, Kai Kang, Goran Nenadic
2026 J jnl
Towards a resource for multilingual lexicons: an MT assisted and human-in-the-loop multilingual parallel corpus with multi-word expression annotation.
Lang. Resour. Evaluation
Lifeng Han, Najet Hadj Mohamed, Malak Rassem, Gareth J. F. Jones, Alan F. Smeaton, Goran Nenadic
2025 J jnl
Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement.
CoRR
Hao Li, Yizheng Sun, Viktor Schlegel, Kailai Yang, Riza Batista-Navarro, Goran Nenadic
2025 J jnl
Automatic genetic phenotype normalization from dysmorphology physical examinations: an overview of the BioCreative VIII - Task 3 competition.
Database J. Biol. Databases Curation
Davy Weissenbacher, Xinwei Zhao, Jessica R. C. Priestley, Katherine M. Szigety, Sarah F. Schmidt, Karen O'Connor, Ekin Soysal, Kirk Roberts, Jiewei Qi, Ling Luo, Zhihao Yang, Hongfei Lin, Hajung Kim, Chanhwi Kim, Jiwoong Sohn, Tim Beck, Marek Rei, Sunkyu Kim, T. Ian Simpson, Joram M. Posma, Antoine Lain, Mujeen Sung, Jaewoo Kang, Areej Alhassan, Viktor Schlegel, Monira Aloud, Riza Batista-Navarro, Goran Nenadic, Ying-Jia Lin, Zhi-Quan Feng, Hung-Yu Kao, Ian M. Campbell, Graciela Gonzalez-Hernandez
2025 A* conf
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling.
ICML
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
2025 J jnl
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling.
CoRR
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
2025 — conf
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling.
NAACL (Long Papers)
Yanan Ma, Chenghao Xiao, Chenhan Yuan, Sabine N. van der Veer, Lamiece Hassan, Chenghua Lin, Goran Nenadic
2025 J jnl
Data, dialogue, and design: patient and public involvement and engagement for natural language processing with real-world cancer data.
Frontiers Digit. Health
Wuraola Oyewusi, Eliana M. Vasquez Osorio, Goran Nenadic, Issy Macgregor, Gareth Price
2025 — conf
De-identifying Clinical Texts using Biomed-Clinical BERTs and Comprehensive Risk Assessment.
ICHI
Dhivin Shaji, Angel Paul, Lifeng Han, Warren Del-Pinto, Goran Nenadic, Suzan Verberne
2025 J jnl
Discontinuous named entities in clinical text: A systematic literature review.
J. Biomed. Informatics
Areej Alhassan, Viktor Schlegel, Monira Aloud, Riza Batista-Navarro, Goran Nenadic
2025 A conf
DocDiscNER: Enhanced Document-Level Discontinuous NER via Coordination Ellipses Resolution and Self-Consistency Decoding.
ECAI
Areej Alhassan, Viktor Schlegel, Rina Carines Cabral, Riza Batista-Navarro, Soyeon Caren Han, Josiah Poon, Goran Nenadic
2025 A conf
Evaluating Differentially Private Generation of Domain-Specific Text.
CIKM
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 J jnl
Evaluating Differentially Private Generation of Domain-Specific Text.
CoRR
Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar, Iqra Zahid, Yuping Wu, Warren Del-Pinto, Goran Nenadic, Siew-Kei Lam, Jie Zhang, Anil A. Bharath
2025 J jnl
Evaluation and LLM-Guided Learning of ICD Coding Rationales.
CoRR
Mingyang Li, Viktor Schlegel, Tingting Mu, Wuraola Oyewusi, Kai Kang, Goran Nenadic
2025 — conf
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling.
NAACL (Student Research Workshop)
Samuel Belkadi, Libo Ren, Nicolo Micheletti, Lifeng Han, Goran Nenadic
2025 J jnl
HealthcareNLP: where are we and what is next?
CoRR
Lifeng Han, Paul Rayson, Suzan Verberne, Andrew Moore, Goran Nenadic
2025 — conf
INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Pre-Trained Language Models and Ensemble Learning.
NAACL (Student Research Workshop)
Pablo Romero, Lifeng Han, Goran Nenadic
2025 J jnl
Large Language Models in Argument Mining: A Survey.
CoRR
Hao Li, Viktor Schlegel, Yizheng Sun, Riza Batista-Navarro, Goran Nenadic
2025 — conf
MLM4SynMed: Masked Language Modelling for Synthetic Free-text Medical Records Generation.
ICHI
Samuel Belkadi, Libo Ren, Nicolo Micheletti, Lifeng Han, Goran Nenadic
2025 — conf
Neuro-Symbolic AI: Combining Neural and Symbolic AI for UK Syndromic Surveillance.
AI (2)
Mercedes Argüello Casteleiro, Nava Maroto, Maria Jesus Fernandez Prieto, Yuan Wei, Peter-John Noble, Alan David Radford, Goran Nenadic
2025 J jnl
Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs.
CoRR
Mingyang Li, Viktor Schlegel, Tingting Mu, Warren Del-Pinto, Goran Nenadic
2025 J jnl
SynBench: A Benchmark for Differentially Private Text Generation.
CoRR
Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar, Iqra Zahid, Yuping Wu, Yulong Wu, Hao Li, Jie Zhang, Warren Del-Pinto, Goran Nenadic, Siew Kei Lam, Anil Anthony Bharath
2025 J jnl
Synthetic4Health: generating annotated synthetic clinical letters.
Frontiers Digit. Health
Libo Ren, Samuel Belkadi, Lifeng Han, Warren Del-Pinto, Goran Nenadic
2025 J jnl
Term2Note: Synthesising Differentially Private Clinical Notes from Medical Terms.
CoRR
Yuping Wu, Viktor Schlegel, Warren Del-Pinto, Srinivasan Nandakumar, Iqra Zahid, Yidan Sun, Usama Farghaly Omar, Amirah Jasmine, Arun-Kumar Kaliya-Perumal, Chun Shen Tham, Gabriel Connors, Anil A. Bharath, Goran Nenadic
2025 A* conf
TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition.
WWW
Rina Carines Cabral, Soyeon Caren Han, Areej Alhassan, Riza Batista-Navarro, Goran Nenadic, Josiah Poon
2025 — conf
UOM at the NTCIR-18 RadNLP Task.
NTCIR
Wuraola Oyewusi, Eliana M. Vasquez Osorio, Gareth Price, Goran Nenadic
2025 J jnl
What is the patient re-identification risk from using de-identified clinical free text data for health research?
AI Ethics
Elizabeth Ford, Simon Pillinger, Robert Stewart, Kerina H. Jones, Angus Roberts, Arlene Casey, Katie Goddard, Goran Nenadic
2025 J jnl
Will Large Language Models Transform Clinical Prediction?
CoRR
Yusuf Yildiz, Goran Nenadic, Meghna Jani, David A. Jenkins
2024 J jnl
A Comparative Study on Automatic Coding of Medical Letters with Explainability.
CoRR
Jamie Glen, Lifeng Han, Paul Rayson, Goran Nenadic
2024 J jnl
BeeManc at the PLABA Track of TAC-2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability.
CoRR
Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic
2024 J jnl
BeeManc at the PLABA Track of TAC-2024: RoBERTa for task 1 - LLaMA3.1 and GPT-4o for task 2.
CoRR
Zhidong Ling, Zihao Li, Pablo Romero, Lifeng Han, Goran Nenadic
2024 J jnl
CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation.
CoRR
Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic
2024 J jnl
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling.
CoRR
Yanan Ma, Chenghao Xiao, Chenhan Yuan, Sabine N. van der Veer, Lamiece Hassan, Chenghua Lin, Goran Nenadic
2024 J jnl
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data.
CoRR
Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic
2024 — conf
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models using Real and Synthetic Back-Translation Data.
EAMT (1)
Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic
2024 — conf
CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations.
AMTA (2)
Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic
2024 J jnl
De-identification of clinical free text using natural language processing: A systematic review of current approaches.
Artif. Intell. Medicine
Aleksandar Kovacevic, Bojana Basaragin, Nikola Milosevic, Goran Nenadic
2024 J jnl
DeIDClinic: A Multi-Layered Framework for De-identification of Clinical Free-text Data.
CoRR
Angel Paul, Dhivin Shaji, Lifeng Han, Warren Del-Pinto, Goran Nenadic
2024 J jnl
Exploration of Masked and Causal Language Modelling for Text Generation.
CoRR
Nicolo Micheletti, Samuel Belkadi, Lifeng Han, Goran Nenadic
2024 J jnl
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework.
CoRR
Yuping Wu, Hao Li, Hongbo Zhu, Goran Nenadic, Xiao-Jun Zeng
2024 J jnl
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling.
CoRR
Samuel Belkadi, Libo Ren, Nicolo Micheletti, Lifeng Han, Goran Nenadic
2024 J jnl
INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning.
CoRR
Pablo Romero, Lifeng Han, Goran Nenadic
2024 — conf
Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts.
ICHI
Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic
2024 J jnl
Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension.
CoRR
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
2024 J jnl
LLM-CARD: Towards a Description and Landscape of Large Language Models.
CoRR
Shengwei Tian, Lifeng Han, Erick Mendez Guzman, Goran Nenadic
2024 J jnl
MM-EMOG: Multi-Label Emotion Graph Representation for Mental Health Classification on Social Media.
Robotics
Rina Carines Cabral, Soyeon Caren Han, Josiah Poon, Goran Nenadic
2024 — conf
MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs.
EAMT (1)
Serge Gladkoff, Lifeng Han, Gleb Erofeev, Irina Sorokina, Goran Nenadic
2024 J jnl
Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning.
Frontiers Digit. Health
Lifeng Han, Serge Gladkoff, Gleb Erofeev, Irina Sorokina, Betty Galiano, Goran Nenadic
2024 J jnl
Our Heritage, Our Stories: developing AI tools to link and support community-generated digital cultural heritage.
J. Documentation
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
2024 J jnl
Synthetic4Health: Generating Annotated Synthetic Clinical Letters.
CoRR
Libo Ren, Samuel Belkadi, Lifeng Han, Warren Del-Pinto, Goran Nenadic
2024 — conf
The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control.
AMTA (2)
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 J jnl
The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control.
CoRR
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 J jnl
TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition.
CoRR
Rina Carines Cabral, Soyeon Caren Han, Areej Alhassan, Riza Batista-Navarro, Goran Nenadic, Josiah Poon
2024 — conf
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.
ACL (Findings)
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic
2024 J jnl
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.
CoRR
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic
2024 — conf
{MaLei} at the PLABA Track of TREC 2024: RoBERTa for Term Replacement - LLaMA3.1 and GPT-4o for Complete Abstract Adaptation.
TREC
Zhidong Ling, Zihao Li, Pablo Romero, Lifeng Han, Goran Nenadic
2023 J jnl
A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding.
Nat. Lang. Eng.
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
2023 Misc conf
AlphaMWE-Arabic: Arabic Edition of Multilingual Parallel Corpora with Multiword Expression Annotations.
RANLP
Najet Hadj Mohamed, Malak Rassem, Lifeng Han, Goran Nenadic
2023 J jnl
De-identification of clinical free text using natural language processing: A systematic review of current approaches.
CoRR
Aleksandar Kovacevic, Bojana Basaragin, Nikola Milosevic, Goran Nenadic
2023 — conf
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation.
ACL (1)
Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
2023 J jnl
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation.
CoRR
Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
2023 — conf
EDU-level Extractive Summarization with Varying Summary Lengths.
EACL (Findings)
Yuping Wu, Ching-Hsun Tseng, Jiayu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng
2023 J jnl
Exploring the Consistency, Quality and Challenges in Manual and Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters.
CoRR
Warren Del-Pinto, George Demetriou, Meghna Jani, Rikesh Patel, Leanne Gray, Alex Bulcock, Niels Peek, Andrew S. Kanter, William G. Dixon, Goran Nenadic
2023 B conf
Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition.
IEEE Big Data
Samuel Belkadi, Lifeng Han, Yuping Wu, Goran Nenadic
2023 B conf
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models.
IEEE Big Data
Hangyu Tu, Lifeng Han, Goran Nenadic
2023 J jnl
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models.
CoRR
Hangyu Tu, Lifeng Han, Goran Nenadic
2023 J jnl
Generating Medical Instructions with Conditional Transformer.
CoRR
Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Warren Del-Pinto, Goran Nenadic
2023 — conf
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning.
ClinicalNLP@ACL
Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic
2023 J jnl
Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts.
CoRR
Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic
2023 A conf
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction.
CIKM
Jie Yang, Soyeon Caren Han, Siqu Long, Josiah Poon, Goran Nenadic
2023 J jnl
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction.
CoRR
Jie Yang, Soyeon Caren Han, Siqu Long, Josiah Poon, Goran Nenadic
2023 J jnl
MedMine: Examining Pre-trained Language Models on Medication Mining.
CoRR
Haifa Alrdahi, Lifeng Han, Hendrik Suvalov, Goran Nenadic
2023 — conf
MedTem2.0: Prompt-based Temporal Classification of Treatment Events from Discharge Summaries.
ACL (student)
Yang Cui, Lifeng Han, Goran Nenadic
2023 J jnl
Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning.
CoRR
Lifeng Han, Serge Gladkoff, Gleb Erofeev, Irina Sorokina, Betty Galiano, Goran Nenadic
2023 — conf
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
CLEF (Working Notes)
Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic
2023 J jnl
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
CoRR
Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic
2023 J jnl
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
CoRR
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
2023 J jnl
Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data?
CoRR
Serge Gladkoff, Gleb Erofeev, Lifeng Han, Goran Nenadic
2023 Misc conf
Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce.
RANLP
Serge Gladkoff, Lifeng Han, Goran Nenadic
2023 J jnl
Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce.
CoRR
Serge Gladkoff, Lifeng Han, Goran Nenadic
2023 — conf
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.
BioNLP@ACL
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
2023 — conf
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method.
ICHI
Bernadeta Griciute, Lifeng Han, Goran Nenadic
2023 J jnl
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method.
CoRR
Bernadeta Griciute, Lifeng Han, Goran Nenadic
2023 — conf
Towards Principles of Ontology-Based Annotation of Clinical Narratives.
ICBO
Stefan Schulz, Warren Del-Pinto, Lifeng Han, Markus Kreuzthaler, Sareh Aghaei Dinani, Goran Nenadic
2022 J jnl
EDU-level Extractive Summarization with Varying Summary Lengths.
CoRR
Yuping Wu, Ching-Hsun Tseng, Jiayu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng
2022 J jnl
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It.
CoRR
Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic
2022 — conf
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about It.
WMT
Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic
2022 J jnl
On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning?
CoRR
Yuping Wu, Lifeng Han, Valerio Antonini, Goran Nenadic
2022 Misc conf
Pandemic Planning using Text Analytics on Hospital Outpatient Letters: a Case Study on Covid-19 Shielding for Rheumatology Patients.
AMIA
Meghna Jani, Ghada Alfattni, Maksim Belousov, Yuanyuan Zhang, Michael Cheng, Andrew S. Kanter, William G. Dixon, Goran Nenadic
2022 J jnl
Using Massive Multilingual Pre-Trained Language Models Towards Real Zero-Shot Neural Machine Translation in Clinical Domain.
CoRR
Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic
2021 J jnl
Attention-based bidirectional long short-term memory networks for extracting temporal relationships from clinical discharge summaries.
J. Biomed. Informatics
Ghada Alfattni, Niels Peek, Goran Nenadic
2021 J jnl
Correction to: Mining a stroke knowledge graph from literature.
BMC Bioinform.
Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu
2021 J jnl
Corrigendum to "Extraction of temporal relations from clinical free text: A systematic review of current approaches" [J. Biomed. Inf. 108 (2020) 103488].
J. Biomed. Informatics
Ghada Alfattni, Niels Peek, Goran Nenadic
2021 J jnl
Mining a stroke knowledge graph from literature.
BMC Bioinform.
Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu
2021 J jnl
Modelling trend life cycles in scientific research using the Logistic and Gompertz equations.
Scientometrics
Emma Tattershall, Goran Nenadic, Robert Stevens
2021 A* conf
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading.
AAAI
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
2020 B conf
A Framework for Evaluation of Machine Reading Comprehension Gold Standards.
LREC
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
2020 J jnl
A Framework for Evaluation of Machine Reading Comprehension Gold Standards.
CoRR
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
2020 — conf
An efficient representation of chronological events in medical texts.
LOUHI@EMNLP
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado
2020 J jnl
An efficient representation of chronological events in medical texts.
CoRR
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado
2020 J jnl
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models.
CoRR
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
2020 J jnl
Detecting bursty terms in computer science research.
Scientometrics
Emma Tattershall, Goran Nenadic, Robert D. Stevens
2020 J jnl
Extraction of temporal relations from clinical free text: A systematic review of current approaches.
J. Biomed. Informatics
Ghada Alfattni, Niels Peek, Goran Nenadic
2020 J jnl
MASK: A flexible framework to facilitate de-identification of clinical texts.
CoRR
Nikola Milosevic, Gangamma Kalappa, Hesam Dadafarin, Mahmoud Azimaee, Goran Nenadic
2020 J jnl
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading.
CoRR
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
2019 J jnl
A framework for information extraction from tables in biomedical literature.
CoRR
Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic
2019 J jnl
A framework for information extraction from tables in biomedical literature.
Int. J. Document Anal. Recognit.
Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic
2019 J jnl
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes.
J. Biomed. Semant.
Mercedes Argüello Casteleiro, Robert Stevens, 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, Alan D. Radford, John A. Keane, Goran Nenadic
2019 — conf
Exploring the Automatisation of Animal Health Surveillance Through Natural Language Processing.
SGAI Conf.
Mercedes Argüello Casteleiro, Phil H. Jones, Sara Robertson, Richard M. Irvine, Fin Twomey, Goran Nenadic
2019 J jnl
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017.
CoRR
Maksim Belousov, Nikola Milosevic, William G. Dixon, Goran Nenadic
2019 C conf
From Web Crawled Text to Project Descriptions: Automatic Summarizing of Social Innovation Projects.
NLDB
Nikola Milosevic, Dimitar Marinov, Abdullah Gök, Goran Nenadic
2019 J jnl
From web crawled text to project descriptions: automatic summarizing of social innovation projects.
CoRR
Nikola Milosevic, Dimitar Marinov, Abdullah Gök, Goran Nenadic
2019 J jnl
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries.
CoRR
Maksim Belousov, Nikola Milosevic, Ghada Alfattni, Haifa Alrdahi, Goran Nenadic
2019 — conf
MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation.
SMM4H@ACL
Maksim Belousov, William G. Dixon, Goran Nenadic
2019 Misc conf
Using Social Media to Study Mental Health Conditions - Challenges and Opportunities.
AMIA
Vasa Curcin, Elizabeth Ford, Jyotishman Pathak, Goran Nenadic
2019 — conf
Using machine learning and text mining to classify fuzzy social science phenomenon: the case of social innovation.
ISSI
Abdullah Gök, Nikola Milosevic, Goran Nenadic
2019 — conf
Wind Turbine operational state prediction: towards featureless, end-to-end predictive maintenance.
IEEE BigData
Adrian Stetco, Anees Mohammed, Sinisa Djurovic, Goran Nenadic, John A. Keane
2018 J jnl
Author Correction: Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts.
npj Digit. Medicine
Rikesh Patel, Maksim Belousov, Meghna Jani, Nabarun Dasgupta, Carly Winokur, Goran Nenadic, William G. Dixon
2018 C conf
Classification of Intangible Social Innovation Concepts.
NLDB
Nikola Milosevic, Abdullah Gök, Goran Nenadic
2018 J jnl
Creating a contemporary corpus of similes in Serbian by using natural language processing.
CoRR
Nikola Milosevic, Goran Nenadic
2018 J jnl
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.
J. Am. Medical Informatics Assoc.
Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez
2018 J jnl
Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature.
J. Biomed. Semant.
Mercedes Argüello Casteleiro, George Demetriou, Warren J. Read, Maria Jesus Fernandez Prieto, Nava Maroto, Diego Maseda-Fernandez, Goran Nenadic, Julie Klein, John A. Keane, Robert Stevens
2018 J jnl
Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools.
Expert Syst. Appl.
Mohammadali Tavakoli, Liping Zhao, Atefeh Heydari, Goran Nenadic
2018 J jnl
Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts.
npj Digit. Medicine
Rikesh Patel, Maksim Belousov, Meghna Jani, Nabarun Dasgupta, Carly Winokur, Goran Nenadic, William G. Dixon
2018 J jnl
Using set theory to reduce redundancy in pathway sets.
BMC Bioinform.
Ruth Alexandra Stoney, Jean-Marc Schwartz, David L. Robertson, Goran Nenadic
2017 — conf
Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources.
SWAT4LS
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, Robert Stevens
2017 — conf
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017.
TAC
Maksim Belousov, Nikola Milosevic, William G. Dixon, Goran Nenadic
2017 — conf
Extraction of Drug-Drug Interactions from Drug Product Labeling Tables.
CRI
Nikola Milosevic, Anay Gupta, Austin Chen, Steven DeMarco, Joshua P. Le, Jodi Schneider, Yifan Ning, Goran Nenadic, Richard D. Boyce
2017 — conf
Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task.
SMM4H@AMIA
Maksim Belousov, William G. Dixon, Goran Nenadic
2016 J jnl
As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian.
CoRR
Nikola Milosevic, Goran Nenadic
2016 — conf
Deep Learning meets Semantic Web: A feasibility study with the Cardiovascular Disease Ontology and PubMed citations.
ODLS
Mercedes Argüello Casteleiro, George Demetriou, Warren J. Read, Maria Jesus Fernandez Prieto, Diego Maseda-Fernandez, Goran Nenadic, Julie Klein, John A. Keane, Robert Stevens
2016 C conf
Disentangling the Structure of Tables in Scientific Literature.
NLDB
Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic
2016 — conf
Extracting Patient Data from Tables in Clinical Literature - Case Study on Extraction of BMI, Weight and Number of Patients.
HEALTHINF
Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic
2016 C conf
Identification of Occupation Mentions in Clinical Narratives.
NLDB
Azad Dehghan, Tom Liptrot, Daniel Tibble, Matthew Barker-Hewitt, Goran Nenadic
2016 C conf
Inferring Methodological Meta-knowledge from Large Biomedical Corpora.
PACLIC
Goran Nenadic
2016 J jnl
Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database.
BMC Medical Informatics Decis. Mak.
George Karystianis, Therese Sheppard, William G. Dixon, Goran Nenadic
2016 — conf
Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed.
SWAT4LS
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
2016 — ed.
Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine, SMBM 2016, Potsdam, Germany, August 4-5, 2016.
SMBM
Mariana L. Neves, Fabio Rinaldi, Goran Nenadic, Dietrich Rebholz-Schuhmann
2016 J jnl
The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing.
J. Biomed. Semant.
Warren J. Read, George Demetriou, Goran Nenadic, Noel Ruddock, Robert Stevens, Jerry Winter
2016 — conf
Towards Automatic Memory Tuning for In-Memory Big Data Analytics in Clusters.
BigData Congress
Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane
2015 — conf
A Parallel Distributed Weka Framework for Big Data Mining Using Spark.
BigData Congress
Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane
2015 J jnl
Ambiguity and variability of database and software names in bioinformatics.
J. Biomed. Semant.
Geraint Duck, Aleksandar Kovacevic, David L. Robertson, Robert Stevens, Goran Nenadic
2015 J jnl
Combining knowledge- and data-driven methods for de-identification of clinical narratives.
J. Biomed. Informatics
Azad Dehghan, Aleksandar Kovacevic, George Karystianis, John A. Keane, Goran Nenadic
2015 B conf
Contextualisation of Biomedical Knowledge Through Large-Scale Processing of Literature, Clinical Narratives and Social Media.
AIME
Goran Nenadic
2015 J jnl
Temporal expression extraction with extensive feature type selection and a posteriori label adjustment.
Data Knowl. Eng.
Michele Filannino, Goran Nenadic
2015 J jnl
Using local lexicalized rules to identify heart disease risk factors in clinical notes.
J. Biomed. Informatics
George Karystianis, Azad Dehghan, Aleksandar Kovacevic, John A. Keane, Goran Nenadic
2014 J jnl
Extracting patterns of database and software usage from the bioinformatics literature.
Bioinform.
Geraint Duck, Goran Nenadic, Andy Brass, David L. Robertson, Robert Stevens
2014 C conf
Identification of Multi-Focal Questions in Question and Answer Reports.
NLDB
Mona Mohamed Zaki Ali, Goran Nenadic, Babis Theodoulidis
2014 J jnl
Mining characteristics of epidemiological studies from Medline: a case study in obesity.
J. Biomed. Semant.
George Karystianis, Iain E. Buchan, Goran Nenadic
2014 J jnl
Text mining of cancer-related information: Review of current status and future directions.
Int. J. Medical Informatics
Irena Spasic, Jacqueline Livsey, John A. Keane, Goran Nenadic
2014 — conf
Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge.
NTCIR
Michele Filannino, Goran Nenadic
2013 B conf
A Bayesian Association Rule Mining Algorithm.
SMC
David Tian, Ann Gledson, Athos Antoniades, Aristos Aristodimou, Dimitrios Ntalaperas, Ratnesh Sahay, Jianxin Pan, Stavros Stivaros, Goran Nenadic, Xiao-Jun Zeng, John A. Keane
2013 J jnl
Cataloging the biomedical world of pain through semi-automated curation of molecular interactions.
Database J. Biol. Databases Curation
Daniel G. Jamieson, Phoebe M. Roberts, David L. Robertson, Ben Sidders, Goran Nenadic
2013 B conf
Challenges in Clinical Named Entity Recognition for Decision Support.
SMC
Azad Dehghan, John A. Keane, Goran Nenadic
2013 J jnl
Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.
J. Am. Medical Informatics Assoc.
Aleksandar Kovacevic, Azad Dehghan, Michele Filannino, John A. Keane, Goran Nenadic
2013 J jnl
Literature Mining Solutions for Life Science Research.
Adv. Bioinformatics
Jörg Hakenberg, Goran Nenadic, Dietrich Rebholz-Schuhmann, Jin-Dong Kim
2013 J jnl
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
CoRR
Michele Filannino, Gavin Brown, Goran Nenadic
2013 — conf
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge.
SemEval@NAACL-HLT
Michele Filannino, Gavin Brown, Goran Nenadic
2013 J jnl
PathNER: a tool for systematic identification of biological pathway mentions in the literature.
BMC Syst. Biol.
Chengkun Wu, Jean-Marc Schwartz, Goran Nenadic
2013 J jnl
bioNerDS: exploring bioinformatics' database and software use through literature mining.
BMC Bioinform.
Geraint Duck, Goran Nenadic, Andy Brass, David L. Robertson, Robert Stevens
2012 J jnl
BioContext: an integrated text mining system for large-scale extraction and contextualization of biomolecular events.
Bioinform.
Martin Gerner, Farzaneh Sarafraz, Casey M. Bergman, Goran Nenadic
2012 J jnl
Mining methodologies from NLP publications: A case study in automatic terminology recognition.
Comput. Speech Lang.
Aleksandar Kovacevic, Zora Konjovic, Branko Milosavljevic, Goran Nenadic
2012 J jnl
Towards semi-automated curation: using text mining to recreate the HIV-1, human protein interaction database.
Database J. Biol. Databases Curation
Daniel G. Jamieson, Martin Gerner, Farzaneh Sarafraz, Goran Nenadic, David L. Robertson
2011 J jnl
Mining semantic networks of bioinformatics e-resources from the literature.
J. Biomed. Semant.
Hammad Afzal, James M. Eales, Robert Stevens, Goran Nenadic
2011 J jnl
The GNAT library for local and remote gene mention normalization.
Bioinform.
Jörg Hakenberg, Martin Gerner, Maximilian Haeussler, Illés Solt, Conrad Plake, Michael Schroeder, Graciela Gonzalez, Goran Nenadic, Casey M. Bergman
2010 — conf
An Exploration of Mining Gene Expression Mentions and Their Anatomical Locations from Biomedical Text.
BioNLP@ACL
Martin Gerner, Goran Nenadic, Casey M. Bergman
2010 J jnl
Biomedical Semantics: the Hub for Biomedical Research 2.0.
J. Biomed. Semant.
Dietrich Rebholz-Schuhmann, Goran Nenadic
2010 — conf
Identification of negated regulation events in the literature: exploring the feature space.
Semantic Mining in Biomedicine
Farzaneh Sarafraz, Goran Nenadic
2010 J jnl
Improving Clustering of Noisy Documents through Automatic Summarisation.
Res. Comput. Sci.
Goran Nenadic, Mary McGee Wood, Seemab Lalif
2010 J jnl
LINNAEUS: A species name identification system for biomedical literature.
BMC Bioinform.
Martin Gerner, Goran Nenadic, Casey M. Bergman
2010 J jnl
Medication information extraction with linguistic pattern matching and semantic rules.
J. Am. Medical Informatics Assoc.
Irena Spasic, Farzaneh Sarafraz, John A. Keane, Goran Nenadic
2010 — conf
Using SVMs with the Command Relation features to identify negated events in biomedical literature.
NeSp-NLP@ACL
Farzaneh Sarafraz, Goran Nenadic
2009 J jnl
Assigning roles to protein mentions: The case of transcription factors.
J. Biomed. Informatics
Hui Yang, John A. Keane, Casey M. Bergman, Goran Nenadic
2009 — conf
Biomedical Event Detection using Rules, Conditional Random Fields and Parse Tree Distances.
BioNLP@HLT-NAACL (Shared Task)
Farzaneh Sarafraz, James M. Eales, Reza Mohammadi, Jonathan E. Dickerson, David Robertson, Goran Nenadic
2009 B conf
Mining Semantic Descriptions of Bioinformatics Web Resources from the Literature.
ESWC
Hammad Afzal, Robert Stevens, Goran Nenadic
2009 — conf
Mining Semantic Networks of Bioinformatics e-Resources from the Literature.
SWAT4LS
Hammad Afzal, James M. Eales, Robert Stevens, Goran Nenadic
2009 J jnl
Research Paper: A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries.
J. Am. Medical Informatics Assoc.
Hui Yang, Irena Spasic, John A. Keane, Goran Nenadic
2008 J jnl
Identification of transcription factor contexts in literature using machine learning approaches.
BMC Bioinform.
Hui Yang, Goran Nenadic, John A. Keane
2006 — conf
Annotation and Disambiguation of Semantic Types in Biomedical Text: A Cascaded Approach to Named Entity Recognition.
NLPXML@EACL
Dietrich Rebholz-Schuhmann, Harald Kirsch, Sylvain Gaudan, Miguel Arregui, Goran Nenadic
2006 J jnl
Mining semantically related terms from biomedical literature.
ACM Trans. Asian Lang. Inf. Process.
Goran Nenadic, Sophia Ananiadou
2006 B conf
Towards a terminological resource for biomedical text mining.
LREC
Goran Nenadic, Naoaki Okazaki, Sophia Ananiadou
2005 J jnl
Mining protein function from text using term-based support vector machines.
BMC Bioinform.
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
2004 B conf
Enhancing automatic term recognition through recognition of variation.
COLING
Goran Nenadic, Sophia Ananiadou, John McNaught
2004 B conf
Exploring Balkanet Shared Ontology for Multilingual Conceptual Indexing.
LREC
Sofia Stamou, Goran Nenadic, Dimitris Christodoulakis
2004 C conf
Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms..
IDEAL
Irena Spasic, Goran Nenadic, Sophia Ananiadou
2004 B conf
Mining Biomedical Abstracts: What's in a Term?
IJCNLP
Goran Nenadic, Irena Spasic, Sophia Ananiadou
2004 J jnl
Term identification in the biomedical literature.
J. Biomed. Informatics
Michael Krauthammer, Goran Nenadic
2003 A conf
An Integrated Term-Based Corpus Query System.
EACL
Kostas Manios, Goran Nenadic, Irena Spasic, Sophia Ananiadou
2003 — conf
Selecting Text Features for Gene Name Classification: from Documents to Terms.
BioNLP@ACL
Goran Nenadic, Simon B. Rice, Irena Spasic, Sophia Ananiadou, Benjamin J. Stapley
2003 Misc conf
Terminology-driven Mining of Biomedical Literature.
SAC
Goran Nenadic, Irena Spasic, Sophia Ananiadou
2003 J jnl
Terminology-driven Mining of Biomedical Literature.
Bioinform.
Goran Nenadic, Irena Spasic, Sophia Ananiadou
2003 — conf
Using Domain-Specific Verbs for Term Classification.
BioNLP@ACL
Irena Spasic, Goran Nenadic, Sophia Ananiadou
2002 B conf
A Methodology for Terminology-based Knowledge Acquisition and Integration.
COLING
Hideki Mima, Sophia Ananiadou, Goran Nenadic, Jun'ichi Tsujii
2002 B conf
Automatic Acronym Acquisition and Term Variation Management within Domain-Specific Texts.
LREC
Goran Nenadic, Irena Spasic, Sophia Ananiadou
2002 C conf
Supervised Learning of Term Similarities.
IDEAL
Irena Spasic, Goran Nenadic, Kostas Manios, Sophia Ananiadou
2002 — conf
Term Clustering Using a Corpus-Based Similarity Measure.
TSD
Goran Nenadic, Irena Spasic, Sophia Ananiadou
2002 J jnl
Terminology-driven literature mining and knowledge acquisition in biomedicine.
Int. J. Medical Informatics
Goran Nenadic, Hideki Mima, Irena Spasic, Sophia Ananiadou, Jun'ichi Tsujii
2002 B conf
Tuning Context Features with Genetic Algorithms.
LREC
Irena Spasic, Goran Nenadic, Sophia Ananiadou
2001 — conf
The ATRACT Workbench: Automatic Term Recognition and Clustering for Terms.
TSD
Hideki Mima, Sophia Ananiadou, Goran Nenadic
2000 — conf
Local Grammars and Parsing Coordination of Nouns in Serbo-Croatian.
TSD
Goran Nenadic
2000 — conf
Recognition and Acquisition of Compound Names from Corpora.
Natural Language Processing
Goran Nenadic, Irena Spasic
1999 — conf
The Acquisition of Some Lexical Constraints from Corpora.
TSD
Goran Nenadic, Irena Spasic