Goran Nenadic

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 93

Top Venues

CoRR

J. Biomed. Informatics

NLDB

J. Biomed. Semant.

Publications

Lifeng Han, Serge Gladkoff, Gleb Erofeev, Irina Sorokina, Betty Galiano, Goran Nenadic
Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning. Frontiers Digit. Health 6 (2024)
Nicolo Micheletti, Samuel Belkadi, Lifeng Han, Goran Nenadic
Exploration of Masked and Causal Language Modelling for Text Generation. CoRR (2024)
Aleksandar Kovacevic, Bojana Basaragin, Nikola Milosevic, Goran Nenadic
De-identification of clinical free text using natural language processing: A systematic review of current approaches. Artif. Intell. Medicine 151 (2024)
Rina Carines Cabral, Soyeon Caren Han, Josiah Poon, Goran Nenadic
MM-EMOG: Multi-Label Emotion Graph Representation for Mental Health Classification on Social Media. Robotics 13 (3) (2024)
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. ACL (Findings) (2024)
Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic
CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation. CoRR (2024)
Jamie Glen, Lifeng Han, Paul Rayson, Goran Nenadic
A Comparative Study on Automatic Coding of Medical Letters with Explainability. CoRR (2024)
Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data. CoRR (2024)
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. CoRR (2024)
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
The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control. CoRR (2024)
Hao Li, Yu-Ping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. CoRR (2023)
Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic
Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts. CoRR (2023)
Serge Gladkoff, Gleb Erofeev, Lifeng Han, Goran Nenadic
Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data? CoRR (2023)
Hao Li, Yu-Ping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
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 (2023)
Viktor Schlegel, Hao Li, Yu-Ping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CLEF (Working Notes) (2023)
Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. CoRR (2023)
Hangyu Tu, Lifeng Han, Goran Nenadic
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models. BigData (2023)
Hangyu Tu, Lifeng Han, Goran Nenadic
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models. CoRR (2023)
Haifa Alrdahi, Lifeng Han, Hendrik Suvalov, Goran Nenadic
MedMine: Examining Pre-trained Language Models on Medication Mining. CoRR (2023)
Yang Cui, Lifeng Han, Goran Nenadic
MedTem2.0: Prompt-based Temporal Classification of Treatment Events from Discharge Summaries. ACL (student) (2023)
Yu-Ping Wu, Ching-Hsun Tseng, Jia-Yu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng
EDU-level Extractive Summarization with Varying Summary Lengths. EACL (Findings) (2023)
Serge Gladkoff, Lifeng Han, Goran Nenadic
Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce. CoRR (2023)
Jie Yang, Soyeon Caren Han, Siqu Long, Josiah Poon, Goran Nenadic
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction. CIKM (2023)
Warren Del-Pinto, George Demetriou, Meghna Jani, Rikesh Patel, Leanne Gray, Alex Bulcock, Niels Peek, Andrew S. Kanter, William G. Dixon, Goran Nenadic
Exploring the Consistency, Quality and Challenges in Manual and Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters. CoRR (2023)
Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning. ClinicalNLP@ACL (2023)
Viktor Schlegel, Hao Li, Yu-Ping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CoRR (2023)
Najet Hadj Mohamed, Malak Rassem, Lifeng Han, Goran Nenadic
AlphaMWE-Arabic: Arabic Edition of Multilingual Parallel Corpora with Multiword Expression Annotations. RANLP (2023)
Jie Yang, Soyeon Caren Han, Siqu Long, Josiah Poon, Goran Nenadic
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction. CoRR (2023)
Bernadeta Griciute, Lifeng Han, Goran Nenadic
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method. ICHI (2023)
Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. ACL (1) (2023)
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding. Nat. Lang. Eng. 29 (1) (2023)
Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Warren Del-Pinto, Goran Nenadic
Generating Medical Instructions with Conditional Transformer. CoRR (2023)
Stefan Schulz, Warren Del-Pinto, Lifeng Han, Markus Kreuzthaler, Sareh Aghaei Dinani, Goran Nenadic
Towards Principles of Ontology-Based Annotation of Clinical Narratives. ICBO (2023)
Lifeng Han, Serge Gladkoff, Gleb Erofeev, Irina Sorokina, Betty Galiano, Goran Nenadic
Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning. CoRR (2023)
Serge Gladkoff, Lifeng Han, Goran Nenadic
Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce. RANLP (2023)
Samuel Belkadi, Lifeng Han, Yu-Ping Wu, Goran Nenadic
Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition. BigData (2023)
Bernadeta Griciute, Lifeng Han, Goran Nenadic
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method. CoRR (2023)
Aleksandar Kovacevic, Bojana Basaragin, Nikola Milosevic, Goran Nenadic
De-identification of clinical free text using natural language processing: A systematic review of current approaches. CoRR (2023)
Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic
Using Massive Multilingual Pre-Trained Language Models Towards Real Zero-Shot Neural Machine Translation in Clinical Domain. CoRR (2022)
Meghna Jani, Ghada Alfattni, Maksim Belousov, Yuanyuan Zhang, Michael Cheng, Andrew Kanter, William G. Dixon, Goran Nenadic
Pandemic Planning using Text Analytics on Hospital Outpatient Letters: a Case Study on Covid-19 Shielding for Rheumatology Patients. AMIA (2022)
Yu-Ping Wu, Lifeng Han, Valerio Antonini, Goran Nenadic
On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning? CoRR (2022)
Yu-Ping Wu, Ching-Hsun Tseng, Jia-Yu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng
EDU-level Extractive Summarization with Varying Summary Lengths. CoRR (2022)
Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about It. WMT (2022)
Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It. CoRR (2022)
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. AAAI (2021)
Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu
Mining a stroke knowledge graph from literature. BMC Bioinform. (10) (2021)
Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu
Correction to: Mining a stroke knowledge graph from literature. BMC Bioinform. 22 (1) (2021)
Emma Tattershall, Goran Nenadic, Robert Stevens
Modelling trend life cycles in scientific research using the Logistic and Gompertz equations. Scientometrics 126 (11) (2021)
Ghada Alfattni, Niels Peek, Goran Nenadic
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 113 (2021)
Ghada Alfattni, Niels Peek, Goran Nenadic
Attention-based bidirectional long short-term memory networks for extracting temporal relationships from clinical discharge summaries. J. Biomed. Informatics 123 (2021)
Nikola Milosevic, Gangamma Kalappa, Hesam Dadafarin, Mahmoud Azimaee, Goran Nenadic
MASK: A flexible framework to facilitate de-identification of clinical texts. CoRR (2020)
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado
An efficient representation of chronological events in medical texts. CoRR (2020)
Emma Tattershall, Goran Nenadic, Robert D. Stevens
Detecting bursty terms in computer science research. Scientometrics 122 (1) (2020)
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado
An efficient representation of chronological events in medical texts. LOUHI@EMNLP (2020)
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models. CoRR (2020)
Ghada Alfattni, Niels Peek, Goran Nenadic
Extraction of temporal relations from clinical free text: A systematic review of current approaches. J. Biomed. Informatics 108 (2020)
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. LREC (2020)
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. CoRR (2020)
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. CoRR (2020)
Vasa Curcin, Elizabeth Ford, Jyotishman Pathak, Goran Nenadic
Using Social Media to Study Mental Health Conditions - Challenges and Opportunities. AMIA (2019)
Nikola Milosevic, Dimitar Marinov, Abdullah Gök, Goran Nenadic
From web crawled text to project descriptions: automatic summarizing of social innovation projects. CoRR (2019)
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
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes. J. Biomed. Semant. 10 (1) (2019)
Adrian Stetco, Anees Mohammed, Sinisa Djurovic, Goran Nenadic, John A. Keane
Wind Turbine operational state prediction: towards featureless, end-to-end predictive maintenance. IEEE BigData (2019)
Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic
A framework for information extraction from tables in biomedical literature. Int. J. Document Anal. Recognit. 22 (1) (2019)
Maksim Belousov, Nikola Milosevic, Ghada Alfattni, Haifa Alrdahi, Goran Nenadic
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries. CoRR (2019)
Maksim Belousov, William G. Dixon, Goran Nenadic
MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation. SMM4H@ACL (2019)
Nikola Milosevic, Dimitar Marinov, Abdullah Gök, Goran Nenadic
From Web Crawled Text to Project Descriptions: Automatic Summarizing of Social Innovation Projects. NLDB (2019)
Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic
A framework for information extraction from tables in biomedical literature. CoRR (2019)
Abdullah Gök, Nikola Milosevic, Goran Nenadic
Using machine learning and text mining to classify fuzzy social science phenomenon: the case of social innovation. ISSI (2019)
Maksim Belousov, Nikola Milosevic, William G. Dixon, Goran Nenadic
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017. CoRR (2019)
Mercedes Argüello Casteleiro, Phil H. Jones, Sara Robertson, Richard M. Irvine, Fin Twomey, Goran Nenadic
Exploring the Automatisation of Animal Health Surveillance Through Natural Language Processing. SGAI Conf. (2019)
Nikola Milosevic, Abdullah Gök, Goran Nenadic
Classification of Intangible Social Innovation Concepts. NLDB (2018)
Ruth Alexandra Stoney, Jean-Marc Schwartz, David L. Robertson, Goran Nenadic
Using set theory to reduce redundancy in pathway sets. BMC Bioinform. 19 (1) (2018)
Mohammad ali Tavakoli, Liping Zhao, Atefeh Heydari, Goran Nenadic
Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools. Expert Syst. Appl. 113 (2018)
Nikola Milosevic, Goran Nenadic
Creating a contemporary corpus of similes in Serbian by using natural language processing. CoRR (2018)
Rikesh Patel, Maksim Belousov, Meghna Jani, Nabarun Dasgupta, Carly Winokur, Goran Nenadic, William G. Dixon
Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts. npj Digit. Medicine 1 (2018)
Rikesh Patel, Maksim Belousov, Meghna Jani, Nabarun Dasgupta, Carly Winokur, Goran Nenadic, William G. Dixon
Author Correction: Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts. npj Digit. Medicine 1 (2018)
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
Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature. J. Biomed. Semant. 9 (1) (2018)
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
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. 25 (10) (2018)
Nikola Milosevic, Anay Gupta, Austin Chen, Steven DeMarco, Joshua P. Le, Jodi Schneider, Yifan Ning, Goran Nenadic, Richard D. Boyce
Extraction of Drug-Drug Interactions from Drug Product Labeling Tables. CRI (2017)
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
Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources. SWAT4LS (2017)
Maksim Belousov, Nikola Milosevic, William G. Dixon, Goran Nenadic
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017. TAC (2017)
Maksim Belousov, William G. Dixon, Goran Nenadic
Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task. SMM4H@AMIA (2017)
Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane
Towards Automatic Memory Tuning for In-Memory Big Data Analytics in Clusters. BigData Congress (2016)
Goran Nenadic
Inferring Methodological Meta-knowledge from Large Biomedical Corpora. PACLIC (2016)
Mercedes Argüello Casteleiro, George Demetriou, Warren J. Read, Maria Jesus Fernandez Prieto, Diego Maseda-Fernandez, Goran Nenadic, Julie Klein, John A. Keane, Robert Stevens
Deep Learning meets Semantic Web: A feasibility study with the Cardiovascular Disease Ontology and PubMed citations. ODLS (2016)
George Karystianis, Therese Sheppard, William G. Dixon, Goran Nenadic
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. 16 (2016)
Nikola Milosevic, Goran Nenadic
As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian. CoRR (2016)
Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic
Extracting Patient Data from Tables in Clinical Literature - Case Study on Extraction of BMI, Weight and Number of Patients. HEALTHINF (2016)
Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic
Disentangling the Structure of Tables in Scientific Literature. NLDB (2016)
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
Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed. SWAT4LS (2016)
Azad Dehghan, Tom Liptrot, Daniel Tibble, Matthew Barker-Hewitt, Goran Nenadic
Identification of Occupation Mentions in Clinical Narratives. NLDB (2016)
Warren J. Read, George Demetriou, Goran Nenadic, Noel Ruddock, Robert Stevens, Jerry Winter
The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing. J. Biomed. Semant. 7 (2016)
Geraint Duck, Aleksandar Kovacevic, David L. Robertson, Robert Stevens, Goran Nenadic
Ambiguity and variability of database and software names in bioinformatics. J. Biomed. Semant. 6 (2015)
Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane
A Parallel Distributed Weka Framework for Big Data Mining Using Spark. BigData Congress (2015)
Azad Dehghan, Aleksandar Kovacevic, George Karystianis, John A. Keane, Goran Nenadic
Combining knowledge- and data-driven methods for de-identification of clinical narratives. J. Biomed. Informatics 58 (2015)
Michele Filannino, Goran Nenadic
Temporal expression extraction with extensive feature type selection and a posteriori label adjustment. Data Knowl. Eng. 100 (2015)
Goran Nenadic
Contextualisation of Biomedical Knowledge Through Large-Scale Processing of Literature, Clinical Narratives and Social Media. AIME (2015)
George Karystianis, Azad Dehghan, Aleksandar Kovacevic, John A. Keane, Goran Nenadic
Using local lexicalized rules to identify heart disease risk factors in clinical notes. J. Biomed. Informatics 58 (2015)
Geraint Duck, Goran Nenadic, Andy Brass, David L. Robertson, Robert Stevens
Extracting patterns of database and software usage from the bioinformatics literature. Bioinform. 30 (17) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Goran Nenadic