English to Persian Transliteration. - Sarvnaz Karimi; Andrew Turpin; Falk Scholer (SPIRE, 2006)

Collapsed Consonant and Vowel Models: New Approaches for English-Persian Transliteration and Back-Transliteration. - Sarvnaz Karimi; Falk Scholer; Andrew Turpin (ACL, 2007)

Corpus Effects on the Evaluation of Automated Transliteration Systems. - Sarvnaz Karimi; Andrew Turpin; Falk Scholer (ACL, 2007)

Using Topic Models to Interpret MEDLINE's Medical Subject Headings. - David Newman 001; Sarvnaz Karimi; Lawrence Cavedon (Australasian Conference on Artificial Intelligence, 2009)

The challenge of high recall in biomedical systematic search. - Sarvnaz Karimi; Justin Zobel; Stefan Pohl; Falk Scholer (DTMBIO, 2009)

Best Topic Word Selection for Topic Labelling. - Jey Han Lau; David Newman 001; Sarvnaz Karimi; Timothy Baldwin (COLING (Posters), 2010)

Evaluating topic models for digital libraries. - David Newman 001; Youn Noh; Edmund M. Talley; Sarvnaz Karimi; Timothy Baldwin (JCDL, 2010)

Boolean versus ranked querying for biomedical systematic reviews. - Sarvnaz Karimi; Stefan Pohl; Falk Scholer; Lawrence Cavedon; Justin Zobel (BMC Medical Informatics Decis. Mak., 2010)

Visualizing search results and document collections using topic maps. - David Newman 001; Timothy Baldwin; Lawrence Cavedon; Eric Huang; Sarvnaz Karimi; David Martínez 001; Falk Scholer; Justin Zobel (J. Web Semant., 2010)

Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model. - Scott Sanner; Shengbo Guo; Thore Graepel; Sadegh Kharazmi; Sarvnaz Karimi (CIKM, 2011)

Domain expert topic familiarity and search behavior. - Sarvnaz Karimi; Falk Scholer; Adam Clark; Sadegh Kharazmi (SIGIR, 2011)

Search for Medical Records: NICTA at TREC 2011 Medical Track. - Sarvnaz Karimi; David Martínez 001; Sumukh Ghodke; Lawrence Cavedon; Hanna Suominen; Lumin Zhang (TREC, 2011)

Machine transliteration survey. - Sarvnaz Karimi; Falk Scholer; Andrew Turpin (ACM Comput. Surv., 2011)

ESA: emergency situation awareness via microbloggers. - Jie Yin 001; Sarvnaz Karimi; Bella Robinson; Mark A. Cameron (CIKM, 2012)

Searching and Filtering Tweets: CSIRO at the TREC 2012 Microblog Track. - Sarvnaz Karimi; Jie Yin 001; Paul Thomas 001 (TREC, 2012)

Quantifying the impact of concept recognition on biomedical information retrieval. - Sarvnaz Karimi; Justin Zobel; Falk Scholer (Inf. Process. Manag., 2012)

Classifying microblogs for disasters. - Sarvnaz Karimi; Jie Yin 001; Cécile Paris (ADCS, 2013)

Location extraction from disaster-related microblogs. - John Lingad; Sarvnaz Karimi; Jie Yin 001 (WWW (Companion Volume), 2013)

Overview of the 2014 ALTA Shared Task: Identifying Expressions of Locations in Tweets. - Diego Mollá; Sarvnaz Karimi (ALTA, 2014)

A Study of Querying Behaviour of Expert and Non-expert Users of Biomedical Search Systems. - Sadegh Kharazmi; Sarvnaz Karimi; Falk Scholer; Adam Clark (ADCS, 2014)

Pinpointing Locational Focus in Microblogs. - Jie Yin 001; Sarvnaz Karimi; John Lingad (ADCS, 2014)

Evaluation of text-processing algorithms for adverse drug event extraction from social media. - Alejandro Metke-Jimenez; Sarvnaz Karimi; Cécile Paris (SoMeRA@SIGIR, 2014)

Differences between social media and regulatory databases in adverse drug reaction discovery. - Chen Wang 008; Sarvnaz Karimi (SoMeRA@SIGIR, 2014)

CADEminer: A System for Mining Consumer Reports on Adverse Drug Side Effects. - Sarvnaz Karimi; Alejandro Metke-Jimenez; Anthony N. Nguyen (ESAIR@CIKM, 2015)

Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract. - Jie Yin 001; Sarvnaz Karimi; Andrew Lampert; Mark A. Cameron; Bella Robinson; Robert Power (IJCAI, 2015)

Evaluation Methods for Statistically Dependent Text. - Sarvnaz Karimi; Jie Yin 001; Jiri Baum (Comput. Linguistics, 2015)

Concept Extraction to Identify Adverse Drug Reactions in Medical Forums: A Comparison of Algorithms. - Alejandro Metke-Jimenez; Sarvnaz Karimi (CoRR, 2015)

Text and Data Mining Techniques in Adverse Drug Reaction Detection. - Sarvnaz Karimi; Chen Wang 008; Alejandro Metke-Jimenez; Raj Gaire 001; Cécile Paris (ACM Comput. Surv., 2015)

Cadec: A corpus of adverse drug event annotations. - Sarvnaz Karimi; Alejandro Metke-Jimenez; Madonna Kemp; Chen Wang 008 (J. Biomed. Informatics, 2015)

Automatic classification of diseases from free-text death certificates for real-time surveillance. - Bevan Koopman; Sarvnaz Karimi; Anthony N. Nguyen; Rhydwyn McGuire; David Muscatello; Madonna Kemp; Donna Truran; Ming Zhang; Sarah Thackway (BMC Medical Informatics Decis. Mak., 2015)

Evaluation of Retrieval Algorithms for Expertise Search. - Gaya K. Jayasinghe; Sarvnaz Karimi; Melanie Ayre (ADCS, 2016)

Parallel Duplicate Detection in Adverse Drug Reaction Databases with Spark. - Chen Wang 008; Sarvnaz Karimi (EDBT, 2016)

Concept Identification and Normalisation for Adverse Drug Event Discovery in Medical Forums. - Alejandro Metke-Jimenez; Sarvnaz Karimi (BMDID@ISWC, 2016)

CSIRO at TREC Clinical Decision Support Track. - Sarvnaz Karimi; Sara Falamaki; Vincent Nguyen (TREC, 2016)

Medication and Adverse Event Extraction from Noisy Text. - Xiang Dai; Sarvnaz Karimi; Cécile Paris (ALTA, 2017)

Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods. - Sarvnaz Karimi; Xiang Dai; Hamed Hassanzadeh; Anthony N. Nguyen (BioNLP, 2017)

CSIRO at 2017 TREC Precision Medicine Track. - Vincent Nguyen; Sarvnaz Karimi; Sara Falamaki; Diego Mollá Aliod; Cécile Paris; Stephen Wan 001 (TREC, 2017)

Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings. - Anthony N. Nguyen; Donna L. Truran; Madonna Kemp; Bevan Koopman; David Conlan; John O'Dwyer; Ming Zhang; Sarvnaz Karimi; Hamed Hassanzadeh; Michael Lawley; Damian J. Green (AMIA, 2018)

Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning. - Sonit Singh; Kevin Ho-Shon; Sarvnaz Karimi; Len Hamey (IVCNZ, 2018)

A2A: Benchmark Your Clinical Decision Support Search. - Sarvnaz Karimi; Vincent Nguyen; Falk Scholer; Brian Jin; Sara Falamaki (SIGIR, 2018)

Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. - Aditya Joshi; Xiang Dai; Sarvnaz Karimi; Ross Sparks; Cécile Paris; C. Raina MacIntyre (SMM4H@EMNLP, 2018)

Benchmarking Clinical Decision Support Search. - Vincent Nguyen; Sarvnaz Karimi; Sara Falamaki; Cécile Paris (CoRR, 2018)

Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports. - Hamed Hassanzadeh; Anthony N. Nguyen; Sarvnaz Karimi; Kevin Chu (J. Biomed. Informatics, 2018)

Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics. - Aditya Joshi; Sarvnaz Karimi; Ross Sparks; Cécile Paris; C. Raina MacIntyre (ALTA, 2019)

Investigating the Effect of Lexical Segmentation in Transformer-based Models on Medical Datasets. - Vincent Nguyen; Sarvnaz Karimi; Zhenchang Xing (ALTA, 2019)

Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation. - Wenyi Tay; Aditya Joshi; Xiuzhen Zhang 001; Sarvnaz Karimi; Stephen Wan 001 (ALTA, 2019)

Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. - Adith Iyer; Aditya Joshi; Sarvnaz Karimi; Ross Sparks; Cécile Paris (ACL (1), 2019)

NNE: A Dataset for Nested Named Entity Recognition in English Newswire. - Nicky Ringland; Xiang Dai; Ben Hachey; Sarvnaz Karimi; Cécile Paris; James R. Curran (ACL (1), 2019)

A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. - Aditya Joshi; Sarvnaz Karimi; Ross Sparks; Cécile Paris; C. Raina MacIntyre (BioNLP@ACL, 2019)

ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge. - Vincent Nguyen; Sarvnaz Karimi; Zhenchang Xing (BioNLP@ACL, 2019)

Biomedical Concept Detection in Medical Images: MQ-CSIRO at 2019 ImageCLEFmed Caption Task. - Sonit Singh; Sarvnaz Karimi; Kevin Ho-Shon; Len Hamey (CLEF (Working Notes), 2019)

From Chest X-Rays to Radiology Reports: A Multimodal Machine Learning Approach. - Sonit Singh; Sarvnaz Karimi; Kevin Ho-Shon; Len Hamey (DICTA, 2019)

Using Similarity Measures to Select Pretraining Data for NER. - Xiang Dai; Sarvnaz Karimi; Ben Hachey; Cécile Paris (NAACL-HLT (1), 2019)

An Experimentation Platform for Precision Medicine. - Vincent Nguyen; Sarvnaz Karimi; Brian Jin (SIGIR, 2019)

CSIRO at 2019 TREC Precision Medicine Track. - Maciej Rybinski; Sarvnaz Karimi; Cécile Paris (TREC, 2019)

Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective. - Aditya Joshi; Sarvnaz Karimi; Ross Sparks; Cécile Paris; C. Raina MacIntyre (CoRR, 2019)

Pandemic Literature Search: Finding Information on COVID-19. - Vincent Nguyen; Maciek Rybinski; Sarvnaz Karimi; Zhenchang Xing (ALTA, 2020)

An Effective Transition-based Model for Discontinuous NER. - Xiang Dai; Sarvnaz Karimi; Ben Hachey; Cécile Paris (ACL, 2020)

Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. - Xiang Dai; Sarvnaz Karimi; Ben Hachey; Cécile Paris (EMNLP (Findings), 2020)

CSIROmed at TREC Precision Medicine 2020. - Maciej Rybinski; Sarvnaz Karimi (TREC, 2020)

A2A: a platform for research in biomedical literature search. - Maciej Rybinski; Sarvnaz Karimi; Vincent Nguyen; Cécile Paris (BMC Bioinform., 2020)

Searching Scientific Literature for Answers on COVID-19 Questions. - Vincent Nguyen; Maciej Rybinski; Sarvnaz Karimi; Zhenchang Xing (CoRR, 2020)

Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective. - Aditya Joshi; Sarvnaz Karimi; Ross Sparks; Cécile Paris; C. Raina MacIntyre (ACM Comput. Surv., 2020)

Beyond mean rating: Probabilistic aggregation of star ratings based on helpfulness. - Wenyi Tay; Xiuzhen Zhang 001; Sarvnaz Karimi (J. Assoc. Inf. Sci. Technol., 2020)

Matching patients to clinical trials using semantically enriched document representation. - Hamed Hassanzadeh; Sarvnaz Karimi; Anthony N. Nguyen (J. Biomed. Informatics, 2020)

Clinical trial search: Using biomedical language understanding models for re-ranking. - Maciej Rybinski; Jerry Xu; Sarvnaz Karimi (J. Biomed. Informatics, 2020)

Cross-Domain Language Modeling: An Empirical Investigation. - Vincent Nguyen; Sarvnaz Karimi; Maciej Rybinski; Zhenchang Xing (ALTA, 2021)

Combining Shallow and Deep Representations for Text-Pair Classification. - Vincent Nguyen; Sarvnaz Karimi; Zhenchang Xing (ALTA, 2021)

SearchEHR: A Family History Search System for Clinical Decision Support. - Xiang Dai; Maciej Rybinski; Sarvnaz Karimi (CIKM, 2021)

Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search. - Maciej Rybinski; Sarvnaz Karimi (CIKM, 2021)

Science2Cure: A Clinical Trial Search Prototype. - Maciej Rybinski; Sarvnaz Karimi; Aleney Khoo (SIGIR, 2021)

CSIROmed Team Report of TREC 2021 Clinical Trials track: Experiments with BERT Reranking Methods. - Maciej Rybinski; Vincent Nguyen; Sarvnaz Karimi (TREC, 2021)

Show, tell and summarise: learning to generate and summarise radiology findings from medical images. - Sonit Singh; Sarvnaz Karimi; Kevin Ho-Shon; Len Hamey (Neural Comput. Appl., 2021)

Can Language Models Help in System Security? Investigating Log Anomaly Detection using BERT. - Crispin Almodovar; Fariza Sabrina; Sarvnaz Karimi; Salahuddin A. Azad (ALTA, 2022)

The Role of Context in Vaccine Stance Prediction for Twitter Users. - Aleney Khoo; Maciej Rybinski; Sarvnaz Karimi; Adam G. Dunn (ALTA, 2022)

A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking. - Maciej Rybinski; Liam Watts; Sarvnaz Karimi (SIGIR, 2022)

Matching a Patient from An Admission Note to Clinical Trials: Experiments with Query Generation and Neural-Ranking. - Vincent Nguyen; Maciej Rybinski; Sarvnaz Karimi (TREC, 2022)

Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods. - Xiang Dai; Sarvnaz Karimi (CoRR, 2022)

Search like an expert: Reducing expertise disparity using a hybrid neural index for COVID-19 queries. - Vincent Nguyen; Maciej Rybinski; Sarvnaz Karimi; Zhenchang Xing (J. Biomed. Informatics, 2022)

CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models. - Mong Yuan Sim; Xiang Dai; Maciej Rybinski; Sarvnaz Karimi (BioNLP@ACL, 2023)

Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet. - Skyler Zou; Xiang Dai; Grant Brinkworth; Pennie Taylor; Sarvnaz Karimi (BioNLP@ACL, 2023)

A Self-Learning Resource-Efficient Re-Ranking Method for Clinical Trials Search. - Maciej Rybinski; Vincent Nguyen; Sarvnaz Karimi (CIKM, 2023)

Rethinking the Role of Entity Type in Relation Classification. - Xiang Dai; Sarvnaz Karimi; Stephen Wan 001 (IJCNLP (1), 2023)

MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines. - Vincent Nguyen; Sarvnaz Karimi; Maciej Rybinski; Zhenchang Xing (IJCNLP (1), 2023)

SciHarvester: Searching Scientific Documents for Numerical Values. - Maciej Rybinski; Stephen Wan 001; Sarvnaz Karimi; Cécile Paris; Brian Jin; Neil I. Huth; Peter J. Thorburn; Dean P. Holzworth (SIGIR, 2023)

Matching of Patient Questionnaires to Clinical Trials with Large Language Models. - Maciej Rybinski; Sarvnaz Karimi (TREC, 2023)

Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021. - Stefan Hajkowicz; Conrad Sanderson; Sarvnaz Karimi; Alexandra Bratanova; Claire K. Naughtin (CoRR, 2023)

DeBEIR: A Python Package for Dense Bi-Encoder Information Retrieval. - Vincent Nguyen; Sarvnaz Karimi; Zhenchang Xing (J. Open Source Softw., 2023)

DeBEIR: A Python Package for Dense Bi-Encoder Information Retrieval. - Vincent Nguyen; Sarvnaz Karimi; Zhenchang Xing (Zenodo, 2023)

Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective. - Biaoyan Fang; Ritvik Dinesh; Xiang Dai; Sarvnaz Karimi (ACL (Short Papers), 2024)

Using Large Language Models to Evaluate Biomedical Query-Focused Summarisation. - Hashem Hijazi; Diego Mollá; Vincent Nguyen; Sarvnaz Karimi (BioNLP@ACL, 2024)

A Critical Look at Meta-evaluating Summarisation Evaluation Metrics. - Xiang Dai; Sarvnaz Karimi; Biaoyan Fang (EMNLP (Findings), 2024)

Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries. - Biaoyan Fang; Xiang Dai; Sarvnaz Karimi (EMNLP (Findings), 2024)

Identifying Health Risks from Family History: A Survey of Natural Language Processing Techniques. - Xiang Dai; Sarvnaz Karimi; Nathan O'Callaghan (CoRR, 2024)

AskBeacon - Performing genomic data exchange and analytics with natural language. - Anuradha Wickramarachchi; Shakila Tonni; Sonali Majumdar; Sarvnaz Karimi; Sulev Kõks; Brendan Hosking; Jordi Rambla; Natalie A. Twine; Yatish Jain; Denis C. Bauer (CoRR, 2024)

Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences. - Melanie J. McGrath; Harrison Bailey; Necva Bölücü; Xiang Dai; Sarvnaz Karimi; Cécile Paris (CoRR, 2024)

MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction. - Xiang Dai; Sarvnaz Karimi; Abeed Sarker; Ben Hachey; Cécile Paris (J. Biomed. Informatics, 2024)

Learning to match patients to clinical trials using large language models. - Maciej Rybinski; Wojciech Kusa; Sarvnaz Karimi; Allan Hanbury (J. Biomed. Informatics, 2024)

LogFiT: Log Anomaly Detection Using Fine-Tuned Language Models. - Crispin Almodovar; Fariza Sabrina; Sarvnaz Karimi; Salahuddin A. Azad (IEEE Trans. Netw. Serv. Manag., 2024)

Question Answering in Climate Adaptation for Agriculture: Model Development and Evaluation with Expert Feedback. - Vincent Nguyen; Sarvnaz Karimi; Willow Hallgren; Mahesh Prakash (ACL (Findings), 2025)

Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration. - Chao Wang 102; Hehe Fan; Huichen Yang; Sarvnaz Karimi; Lina Yao 001; Yi Yang 001 (CVPR, 2025)

CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages. - Jiyu Chen; Necva Bölücü; Sarvnaz Karimi; Diego Mollá; Cécile Paris (CoRR, 2025)