Goran Nenadic
Orcid: 0000-0003-0795-5363
According to our database1,
Goran Nenadic
authored at least 149 papers
between 1999 and 2024.
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Bibliography
2024
MM-EMOG: Multi-Label Emotion Graph Representation for Mental Health Classification on Social Media.
Robotics, March, 2024
Our Heritage, Our Stories: developing AI tools to link and support community-generated digital cultural heritage.
J. Documentation, 2024
Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning.
Frontiers Digit. Health, 2024
CoRR, 2024
DeIDClinic: A Multi-Layered Framework for De-identification of Clinical Free-text Data.
CoRR, 2024
INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning.
CoRR, 2024
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework.
CoRR, 2024
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling.
CoRR, 2024
Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension.
CoRR, 2024
BeeManc at the PLABA Track of TAC-2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability.
CoRR, 2024
CoRR, 2024
CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation.
CoRR, 2024
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data.
CoRR, 2024
De-identification of clinical free text using natural language processing: A systematic review of current approaches.
Artif. Intell. Medicine, 2024
Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models using Real and Synthetic Back-Translation Data.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024
MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024
The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control.
Proceedings of the 16th Conference of the Association for Machine Translation in the Americas, 2024
Proceedings of the 16th Conference of the Association for Machine Translation in the Americas, 2024
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding.
Nat. Lang. Eng., January, 2023
Exploring the Consistency, Quality and Challenges in Manual and Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters.
CoRR, 2023
Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts.
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?
CoRR, 2023
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
CoRR, 2023
AlphaMWE-Arabic: Arabic Edition of Multilingual Parallel Corpora with Multiword Expression Annotations.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023
Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Proceedings of the International Conference on Biomedical Ontologies 2023 together with the Workshop on Ontologies for Infectious and Immune-Mediated Disease Data Science (OIIDDS 2023) and the FAIR Ontology Harmonization and TRUST Data Interoperability Workshop (FOHTI 2023), Brasília, Brazil, August 28, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 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.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023
Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition.
Proceedings of the IEEE International Conference on Big Data, 2023
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
MedTem2.0: Prompt-based Temporal Classification of Treatment Events from Discharge Summaries.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
2022
On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning?
CoRR, 2022
Using Massive Multilingual Pre-Trained Language Models Towards Real Zero-Shot Neural Machine Translation in Clinical Domain.
CoRR, 2022
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about It.
Proceedings of the Seventh Conference on Machine Translation, 2022
Pandemic Planning using Text Analytics on Hospital Outpatient Letters: a Case Study on Covid-19 Shielding for Rheumatology Patients.
Proceedings of the AMIA 2022, 2022
2021
Modelling trend life cycles in scientific research using the Logistic and Gompertz equations.
Scientometrics, 2021
Attention-based bidirectional long short-term memory networks for extracting temporal relationships from clinical discharge summaries.
J. Biomed. Informatics, 2021
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, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Extraction of temporal relations from clinical free text: A systematic review of current approaches.
J. Biomed. Informatics, 2020
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models.
CoRR, 2020
CoRR, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020
2019
Int. J. Document Anal. Recognit., 2019
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries.
CoRR, 2019
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes.
J. Biomed. Semant., 2019
MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation.
Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019
Exploring the Automatisation of Animal Health Surveillance Through Natural Language Processing.
Proceedings of the Artificial Intelligence XXXVI, 2019
From Web Crawled Text to Project Descriptions: Automatic Summarizing of Social Innovation Projects.
Proceedings of the Natural Language Processing and Information Systems, 2019
Using machine learning and text mining to classify fuzzy social science phenomenon: the case of social innovation.
Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019
Wind Turbine operational state prediction: towards featureless, end-to-end predictive maintenance.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the AMIA 2019, 2019
2018
Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts.
npj Digit. Medicine, 2018
Author Correction: Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts.
npj Digit. Medicine, 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.
J. Am. Medical Informatics Assoc., 2018
Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools.
Expert Syst. Appl., 2018
Creating a contemporary corpus of similes in Serbian by using natural language processing.
CoRR, 2018
Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature.
J. Biomed. Semant., 2018
Proceedings of the Natural Language Processing and Information Systems, 2018
2017
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017.
Proceedings of the 2017 Text Analysis Conference, 2017
Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources.
Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017), 2017
Proceedings of the Summit on Clinical Research Informatics, 2017
Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task.
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017
2016
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., 2016
CoRR, 2016
J. Biomed. Semant., 2016
Proceedings of the 9th International Conference Semantic Web Applications and Tools for Life Sciences, 2016
Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation, 2016
Deep Learning meets Semantic Web: A feasibility study with the Cardiovascular Disease Ontology and PubMed citations.
Proceedings of the 7th Workshop on Ontologies and Data in Life Sciences, 2016
Proceedings of the Natural Language Processing and Information Systems, 2016
Proceedings of the Natural Language Processing and Information Systems, 2016
Extracting Patient Data from Tables in Clinical Literature - Case Study on Extraction of BMI, Weight and Number of Patients.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016
2015
Using local lexicalized rules to identify heart disease risk factors in clinical notes.
J. Biomed. Informatics, 2015
Combining knowledge- and data-driven methods for de-identification of clinical narratives.
J. Biomed. Informatics, 2015
Temporal expression extraction with extensive feature type selection and a posteriori label adjustment.
Data Knowl. Eng., 2015
J. Biomed. Semant., 2015
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
Contextualisation of Biomedical Knowledge Through Large-Scale Processing of Literature, Clinical Narratives and Social Media.
Proceedings of the Artificial Intelligence in Medicine, 2015
2014
Text mining of cancer-related information: Review of current status and future directions.
Int. J. Medical Informatics, 2014
Mining characteristics of epidemiological studies from Medline: a case study in obesity.
J. Biomed. Semant., 2014
Extracting patterns of database and software usage from the bioinformatics literature.
Bioinform., 2014
Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge.
Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, 2014
Proceedings of the Natural Language Processing and Information Systems, 2014
2013
Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.
J. Am. Medical Informatics Assoc., 2013
PathNER: a tool for systematic identification of biological pathway mentions in the literature.
BMC Syst. Biol., 2013
bioNerDS: exploring bioinformatics' database and software use through literature mining.
BMC Bioinform., 2013
Cataloging the biomedical world of pain through semi-automated curation of molecular interactions.
Database J. Biol. Databases Curation, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013
2012
Mining methodologies from NLP publications: A case study in automatic terminology recognition.
Comput. Speech Lang., 2012
BioContext: an integrated text mining system for large-scale extraction and contextualization of biomolecular events.
Bioinform., 2012
Towards semi-automated curation: using text mining to recreate the HIV-1, human protein interaction database.
Database J. Biol. Databases Curation, 2012
2011
J. Biomed. Semant., 2011
2010
Medication information extraction with linguistic pattern matching and semantic rules.
J. Am. Medical Informatics Assoc., 2010
BMC Bioinform., 2010
Identification of negated regulation events in the literature: exploring the feature space.
Proceedings of the Fourth International Symposium for Semantic Mining in Biomedicine, 2010
An Exploration of Mining Gene Expression Mentions and Their Anatomical Locations from Biomedical Text.
Proceedings of the 2010 Workshop on Biomedical Natural Language Processing, 2010
Using SVMs with the Command Relation features to identify negated events in biomedical literature.
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, 2010
2009
J. Biomed. Informatics, 2009
Research Paper: A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries.
J. Am. Medical Informatics Assoc., 2009
Proceedings of the Semantic Web: Research and Applications, 2009
Biomedical Event Detection using Rules, Conditional Random Fields and Parse Tree Distances.
Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, BioNLP@HLT-NAACL 2009, 2009
2008
Identification of transcription factor contexts in literature using machine learning approaches.
BMC Bioinform., 2008
2006
ACM Trans. Asian Lang. Inf. Process., 2006
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006
Annotation and Disambiguation of Semantic Types in Biomedical Text: A Cascaded Approach to Named Entity Recognition.
Proceedings of the 5th Workshop on NLP and XML: Multi-Dimensional Markup in Natural Language Processing, 2006
2005
BMC Bioinform., 2005
2004
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004
Proceedings of the Natural Language Processing, 2004
Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms..
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Proceedings of the COLING 2004, 2004
2003
Proceedings of the Workshop on Natural Language Processing in Biomedicine, 2003
Proceedings of the Workshop on Natural Language Processing in Biomedicine, 2003
2002
Int. J. Medical Informatics, 2002
Proceedings of the Text, Speech and Dialogue, 5th International Conference, 2002
Proceedings of the Third International Conference on Language Resources and Evaluation, 2002
Automatic Acronym Acquisition and Term Variation Management within Domain-Specific Texts.
Proceedings of the Third International Conference on Language Resources and Evaluation, 2002
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002
Proceedings of the 19th International Conference on Computational Linguistics, 2002
2001
Proceedings of the Text, Speech and Dialogue, 4th International Conference, 2001
2000
Proceedings of the Text, Speech and Dialogue - Third International Workshop, 2000
Proceedings of the Natural Language Processing, 2000
1999
Proceedings of the Text, Speech and Dialogue - Second International Workshop, 1999