Goran Nenadic

Orcid: 0000-0003-0795-5363

According to our database1, Goran Nenadic authored at least 133 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MM-EMOG: Multi-Label Emotion Graph Representation for Mental Health Classification on Social Media.
Robotics, March, 2024

Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning.
Frontiers Digit. Health, 2024

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.
CoRR, 2024

The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control.
CoRR, 2024

Exploration of Masked and Causal Language Modelling for Text Generation.
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

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

Generating Medical Instructions with Conditional Transformer.
CoRR, 2023

Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts.
CoRR, 2023

MedMine: Examining Pre-trained Language Models on Medication Mining.
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

Towards Principles of Ontology-Based Annotation of Clinical Narratives.
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

EDU-level Extractive Summarization with Varying Summary Lengths.
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

MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction.
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

Correction to: Mining a stroke knowledge graph from literature.
BMC Bioinform., 2021

Mining a stroke knowledge graph from literature.
BMC Bioinform., 2021

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Detecting bursty terms in computer science research.
Scientometrics, 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

MASK: A flexible framework to facilitate de-identification of clinical texts.
CoRR, 2020

A Framework for Evaluation of Machine Reading Comprehension Gold Standards.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

An efficient representation of chronological events in medical texts.
Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020

2019
A framework for information extraction from tables in biomedical literature.
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

Using Social Media to Study Mental Health Conditions - Challenges and Opportunities.
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

Using set theory to reduce redundancy in pathway sets.
BMC Bioinform., 2018

Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature.
J. Biomed. Semant., 2018

Classification of Intangible Social Innovation Concepts.
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

Extraction of Drug-Drug Interactions from Drug Product Labeling Tables.
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

As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian.
CoRR, 2016

The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing.
J. Biomed. Semant., 2016

Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed.
Proceedings of the 9th International Conference Semantic Web Applications and Tools for Life Sciences, 2016

Inferring Methodological Meta-knowledge from Large Biomedical Corpora.
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

Disentangling the Structure of Tables in Scientific Literature.
Proceedings of the Natural Language Processing and Information Systems, 2016

Identification of Occupation Mentions in Clinical Narratives.
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

Towards Automatic Memory Tuning for In-Memory Big Data Analytics in Clusters.
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

Ambiguity and variability of database and software names in bioinformatics.
J. Biomed. Semant., 2015

A Parallel Distributed Weka Framework for Big Data Mining Using Spark.
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

Identification of Multi-Focal Questions in Question and Answer Reports.
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

Literature Mining Solutions for Life Science Research.
Adv. Bioinformatics, 2013

A Bayesian Association Rule Mining Algorithm.
Proceedings of the IEEE International Conference on Systems, 2013

Challenges in Clinical Named Entity Recognition for Decision Support.
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
Mining semantic networks of bioinformatics e-resources from the literature.
J. Biomed. Semant., 2011

The GNAT library for local and remote gene mention normalization.
Bioinform., 2011

2010
Medication information extraction with linguistic pattern matching and semantic rules.
J. Am. Medical Informatics Assoc., 2010

LINNAEUS: A species name identification system for biomedical literature.
BMC Bioinform., 2010

Biomedical Semantics: the Hub for Biomedical Research 2.0.
J. Biomed. Semant., 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
Assigning roles to protein mentions: The case of transcription factors.
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

Mining Semantic Descriptions of Bioinformatics Web Resources from the Literature.
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
Mining semantically related terms from biomedical literature.
ACM Trans. Asian Lang. Inf. Process., 2006

Towards a terminological resource for biomedical text mining.
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
Mining protein function from text using term-based support vector machines.
BMC Bioinform., 2005

2004
Term identification in the biomedical literature.
J. Biomed. Informatics, 2004

Exploring Balkanet Shared Ontology for Multilingual Conceptual Indexing.
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Mining Biomedical Abstracts: What's in a Term?
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

Enhancing automatic term recognition through recognition of variation.
Proceedings of the COLING 2004, 2004

2003
Terminology-driven Mining of Biomedical Literature.
Bioinform., 2003

An Integrated Term-Based Corpus Query System.
Proceedings of the EACL 2003, 2003

Using Domain-Specific Verbs for Term Classification.
Proceedings of the Workshop on Natural Language Processing in Biomedicine, 2003

Selecting Text Features for Gene Name Classification: from Documents to Terms.
Proceedings of the Workshop on Natural Language Processing in Biomedicine, 2003

2002
Terminology-driven literature mining and knowledge acquisition in biomedicine.
Int. J. Medical Informatics, 2002

Term Clustering Using a Corpus-Based Similarity Measure.
Proceedings of the Text, Speech and Dialogue, 5th International Conference, 2002

Tuning Context Features with Genetic Algorithms.
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

Supervised Learning of Term Similarities.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

A Methodology for Terminology-based Knowledge Acquisition and Integration.
Proceedings of the 19th International Conference on Computational Linguistics, 2002

2001
The ATRACT Workbench: Automatic Term Recognition and Clustering for Terms.
Proceedings of the Text, Speech and Dialogue, 4th International Conference, 2001

2000
Local Grammars and Parsing Coordination of Nouns in Serbo-Croatian.
Proceedings of the Text, Speech and Dialogue - Third International Workshop, 2000

Recognition and Acquisition of Compound Names from Corpora.
Proceedings of the Natural Language Processing, 2000

1999
The Acquisition of Some Lexical Constraints from Corpora.
Proceedings of the Text, Speech and Dialogue - Second International Workshop, 1999


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