Sarvnaz Karimi

120 papers A* 11A 5B 1C 1Misc 20Journal 42Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Predicting patient returns due to complications and recommending follow-up appointments after a dental extraction using machine learning. Discov. Artif. Intell. Farhana Pethani, Jonathan K. Kummerfeld, Xiang Dai, Mike Conway, Albert Yaacoub, Sarvnaz Karimi, Heiko Spallek, Adam G. Dunn
2025	A*	`conf`	Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration. CVPR Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang
2025	J	`jnl`	AskBeacon - performing genomic data exchange and analytics with natural language. Bioinform. Anuradha Wickramarachchi, Shakila Tonni, Sonali Majumdar, Sarvnaz Karimi, Sulev Kõks, Brendan Hosking, Jordi Rambla, Natalie A. Twine, Yatish Jain, Denis C. Bauer
2025	J	`jnl`	CAIRNS: Balancing Readability and Scientific Accuracy in Climate Adaptation Question Answering. CoRR Liangji Kong, Aditya Joshi, Sarvnaz Karimi
2025	J	`jnl`	CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages. CoRR Jiyu Chen, Necva Bölücü, Sarvnaz Karimi, Diego Mollá, Cécile Paris
2025	—	`conf`	Hassles and Uplifts Detection on Social Media Narratives. IJCNLP-AACL (long papers) Jiyu Chen, Sarvnaz Karimi, Diego Mollá, Andreas Duenser, Maria Kangas, Cécile Paris
2025	—	`conf`	My Climate CoPilot: A Question Answering System for Climate Adaptation in Agriculture. ACL (3) Vincent Nguyen, Willow Hallgren, Ashley Harkin, Mahesh Prakash, Sarvnaz Karimi
2025	—	`conf`	Question Answering in Climate Adaptation for Agriculture: Model Development and Evaluation with Expert Feedback. ACL (Findings) Vincent Nguyen, Sarvnaz Karimi, Willow Hallgren, Mahesh Prakash
2025	J	`jnl`	Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). SIGIR Forum Johanne R. Trippas, J. Shane Culpepper, Mohammad Aliannejadi, James Allan, Enrique Amigó, Jaime Arguello, Leif Azzopardi, Peter Bailey, Jamie Callan, Rob Capra, Nick Craswell, W. Bruce Croft, Jeff Dalton, Gianluca Demartini, Laura Dietz, Zhicheng Dou, Carsten Eickhoff, Michael D. Ekstrand, Nicola Ferro, Norbert Fuhr, Dorota Glowacka, Faegheh Hasibi, Danula Hettiachchi, Rosie Jones, Jaap Kamps, Noriko Kando, Sarvnaz Karimi, Makoto P. Kato, Bevan Koopman, Yiqun Liu, Chenglong Ma, Joel Mackenzie, Maria Maistro, Jiaxin Mao, Dana McKay, Bhaskar Mitra, Stefano Mizzaro, Alistair Moffat, Josiane Mothe, Iadh Ounis, Lida Rashidi, Yongli Ren, Mark Sanderson, Rodrygo L. T. Santos, Falk Scholer, Chirag Shah, Laurianne Sitbon, Ian Soboroff, Damiano Spina, Paul Thomas, Julián Urbano, Arjen P. de Vries, Ryen White, Abby Yuan, Hamed Zamani, Oleg Zendel, Min Zhang, Shengyao Zhuang, Justin Zobel, Guido Zuccon
2025	—	`conf`	To Labor is Not to Suffer: Exploration of Polarity Association Bias in LLMs for Sentiment Analysis. IJCNLP-AACL (Short Papers) Jiyu Chen, Sarvnaz Karimi, Diego Mollá, Cécile Paris
2024	—	`conf`	A Critical Look at Meta-evaluating Summarisation Evaluation Metrics. EMNLP (Findings) Xiang Dai, Sarvnaz Karimi, Biaoyan Fang
2024	J	`jnl`	A Critical Look at Meta-evaluating Summarisation Evaluation Metrics. CoRR Xiang Dai, Sarvnaz Karimi, Biaoyan Fang
2024	J	`jnl`	AskBeacon - Performing genomic data exchange and analytics with natural language. CoRR Anuradha Wickramarachchi, Shakila Tonni, Sonali Majumdar, Sarvnaz Karimi, Sulev Kõks, Brendan Hosking, Jordi Rambla, Natalie A. Twine, Yatish Jain, Denis C. Bauer
2024	—	`conf`	Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective. ACL (Short Papers) Biaoyan Fang, Ritvik Dinesh, Xiang Dai, Sarvnaz Karimi
2024	J	`jnl`	Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences. CoRR Melanie J. McGrath, Harrison Bailey, Necva Bölücü, Xiang Dai, Sarvnaz Karimi, Cécile Paris
2024	J	`jnl`	Identifying Health Risks from Family History: A Survey of Natural Language Processing Techniques. CoRR Xiang Dai, Sarvnaz Karimi, Nathan O'Callaghan
2024	J	`jnl`	Learning to match patients to clinical trials using large language models. J. Biomed. Informatics Maciej Rybinski, Wojciech Kusa, Sarvnaz Karimi, Allan Hanbury
2024	J	`jnl`	LogFiT: Log Anomaly Detection Using Fine-Tuned Language Models. IEEE Trans. Netw. Serv. Manag. Crispin Almodovar, Fariza Sabrina, Sarvnaz Karimi, Salahuddin A. Azad
2024	J	`jnl`	MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction. CoRR Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, Cécile Paris
2024	J	`jnl`	MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction. J. Biomed. Informatics Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, Cécile Paris
2024	—	`conf`	Presentation Matters: How to Communicate Science in the NLP Venues and in the Wild. ACL (5) Sarvnaz Karimi, Cécile Paris, Gholamreza Haffari
2024	—	`conf`	Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries. EMNLP (Findings) Biaoyan Fang, Xiang Dai, Sarvnaz Karimi
2024	—	`conf`	Using Large Language Models to Evaluate Biomedical Query-Focused Summarisation. BioNLP@ACL Hashem Hijazi, Diego Mollá, Vincent Nguyen, Sarvnaz Karimi
2023	A	`conf`	A Self-Learning Resource-Efficient Re-Ranking Method for Clinical Trials Search. CIKM Maciej Rybinski, Vincent Nguyen, Sarvnaz Karimi
2023	J	`jnl`	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. CoRR Stefan Hajkowicz, Conrad Sanderson, Sarvnaz Karimi, Alexandra Bratanova, Claire K. Naughtin
2023	—	`conf`	CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models. BioNLP@ACL Mong Yuan Sim, Xiang Dai, Maciej Rybinski, Sarvnaz Karimi
2023	—	`conf`	Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet. BioNLP@ACL Skyler Zou, Xiang Dai, Grant Brinkworth, Pennie Taylor, Sarvnaz Karimi
2023	J	`jnl`	DeBEIR: A Python Package for Dense Bi-Encoder Information Retrieval. J. Open Source Softw. Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing
2023	—	`conf`	Matching of Patient Questionnaires to Clinical Trials with Large Language Models. TREC Maciej Rybinski, Sarvnaz Karimi
2023	—	`conf`	MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines. IJCNLP (1) Vincent Nguyen, Sarvnaz Karimi, Maciej Rybinski, Zhenchang Xing
2023	—	`conf`	Rethinking the Role of Entity Type in Relation Classification. IJCNLP (1) Xiang Dai, Sarvnaz Karimi, Stephen Wan
2023	A*	`conf`	SciHarvester: Searching Scientific Documents for Numerical Values. SIGIR Maciej Rybinski, Stephen Wan, Sarvnaz Karimi, Cécile Paris, Brian Jin, Neil I. Huth, Peter J. Thorburn, Dean P. Holzworth
2022	A*	`conf`	A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking. SIGIR Maciej Rybinski, Liam Watts, Sarvnaz Karimi
2022	Misc	`conf`	Can Language Models Help in System Security? Investigating Log Anomaly Detection using BERT. ALTA Crispin Almodovar, Fariza Sabrina, Sarvnaz Karimi, Salahuddin A. Azad
2022	J	`jnl`	Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods. CoRR Xiang Dai, Sarvnaz Karimi
2022	—	`conf`	Matching a Patient from An Admission Note to Clinical Trials: Experiments with Query Generation and Neural-Ranking. TREC Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi
2022	J	`jnl`	Search like an expert: Reducing expertise disparity using a hybrid neural index for COVID-19 queries. J. Biomed. Informatics Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi, Zhenchang Xing
2022	Misc	`conf`	The Role of Context in Vaccine Stance Prediction for Twitter Users. ALTA Aleney Khoo, Maciej Rybinski, Sarvnaz Karimi, Adam G. Dunn
2021	—	`conf`	CSIROmed Team Report of TREC 2021 Clinical Trials track: Experiments with BERT Reranking Methods. TREC Maciej Rybinski, Vincent Nguyen, Sarvnaz Karimi
2021	Misc	`conf`	Combining Shallow and Deep Representations for Text-Pair Classification. ALTA Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing
2021	Misc	`conf`	Cross-Domain Language Modeling: An Empirical Investigation. ALTA Vincent Nguyen, Sarvnaz Karimi, Maciej Rybinski, Zhenchang Xing
2021	A*	`conf`	Science2Cure: A Clinical Trial Search Prototype. SIGIR Maciej Rybinski, Sarvnaz Karimi, Aleney Khoo
2021	A	`conf`	SearchEHR: A Family History Search System for Clinical Decision Support. CIKM Xiang Dai, Maciej Rybinski, Sarvnaz Karimi
2021	J	`jnl`	Show, tell and summarise: learning to generate and summarise radiology findings from medical images. Neural Comput. Appl. Sonit Singh, Sarvnaz Karimi, Kevin Ho-Shon, Len Hamey
2021	A	`conf`	Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search. CIKM Maciej Rybinski, Sarvnaz Karimi
2020	J	`jnl`	A2A: a platform for research in biomedical literature search. BMC Bioinform. Maciej Rybinski, Sarvnaz Karimi, Vincent Nguyen, Cécile Paris
2020	A*	`conf`	An Effective Transition-based Model for Discontinuous NER. ACL Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2020	J	`jnl`	An Effective Transition-based Model for Discontinuous NER. CoRR Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2020	J	`jnl`	Beyond mean rating: Probabilistic aggregation of star ratings based on helpfulness. J. Assoc. Inf. Sci. Technol. Wenyi Tay, Xiuzhen Zhang, Sarvnaz Karimi
2020	—	`conf`	CSIROmed at TREC Precision Medicine 2020. TREC Maciej Rybinski, Sarvnaz Karimi
2020	J	`jnl`	Clinical trial search: Using biomedical language understanding models for re-ranking. J. Biomed. Informatics Maciej Rybinski, Jerry Xu, Sarvnaz Karimi
2020	—	`conf`	Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. EMNLP (Findings) Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2020	J	`jnl`	Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. CoRR Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2020	J	`jnl`	Matching patients to clinical trials using semantically enriched document representation. J. Biomed. Informatics Hamed Hassanzadeh, Sarvnaz Karimi, Anthony N. Nguyen
2020	Misc	`conf`	Pandemic Literature Search: Finding Information on COVID-19. ALTA Vincent Nguyen, Maciek Rybinski, Sarvnaz Karimi, Zhenchang Xing
2020	J	`jnl`	Searching Scientific Literature for Answers on COVID-19 Questions. CoRR Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi, Zhenchang Xing
2020	J	`jnl`	Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective. ACM Comput. Surv. Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre
2019	—	`conf`	A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. BioNLP@ACL Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre
2019	J	`jnl`	A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. CoRR Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre
2019	—	`conf`	ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge. BioNLP@ACL Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing
2019	A*	`conf`	An Experimentation Platform for Precision Medicine. SIGIR Vincent Nguyen, Sarvnaz Karimi, Brian Jin
2019	—	`conf`	Biomedical Concept Detection in Medical Images: MQ-CSIRO at 2019 ImageCLEFmed Caption Task. CLEF (Working Notes) Sonit Singh, Sarvnaz Karimi, Kevin Ho-Shon, Len Hamey
2019	—	`conf`	CSIRO at 2019 TREC Precision Medicine Track. TREC Maciej Rybinski, Sarvnaz Karimi, Cécile Paris
2019	Misc	`conf`	Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics. ALTA Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre
2019	—	`conf`	Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. ACL (1) Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris
2019	J	`jnl`	Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. CoRR Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris
2019	Misc	`conf`	From Chest X-Rays to Radiology Reports: A Multimodal Machine Learning Approach. DICTA Sonit Singh, Sarvnaz Karimi, Kevin Ho-Shon, Len Hamey
2019	Misc	`conf`	Investigating the Effect of Lexical Segmentation in Transformer-based Models on Medical Datasets. ALTA Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing
2019	—	`conf`	NNE: A Dataset for Nested Named Entity Recognition in English Newswire. ACL (1) Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran
2019	J	`jnl`	NNE: A Dataset for Nested Named Entity Recognition in English Newswire. CoRR Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran
2019	Misc	`conf`	Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation. ALTA Wenyi Tay, Aditya Joshi, Xiuzhen Zhang, Sarvnaz Karimi, Stephen Wan
2019	J	`jnl`	Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective. CoRR Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre
2019	—	`conf`	Using Similarity Measures to Select Pretraining Data for NER. NAACL-HLT (1) Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2019	J	`jnl`	Using Similarity Measures to Select Pretraining Data for NER. CoRR Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris
2018	A*	`conf`	A2A: Benchmark Your Clinical Decision Support Search. SIGIR Sarvnaz Karimi, Vincent Nguyen, Falk Scholer, Brian Jin, Sara Falamaki
2018	J	`jnl`	Benchmarking Clinical Decision Support Search. CoRR Vincent Nguyen, Sarvnaz Karimi, Sara Falamaki, Cécile Paris
2018	Misc	`conf`	Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings. AMIA 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
2018	Misc	`conf`	Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning. IVCNZ Sonit Singh, Kevin Ho-Shon, Sarvnaz Karimi, Len Hamey
2018	—	`conf`	Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. SMM4H@EMNLP Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre
2018	J	`jnl`	Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports. J. Biomed. Informatics Hamed Hassanzadeh, Anthony N. Nguyen, Sarvnaz Karimi, Kevin Chu
2017	—	`conf`	Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods. BioNLP Sarvnaz Karimi, Xiang Dai, Hamed Hassanzadeh, Anthony N. Nguyen
2017	—	`conf`	CSIRO at 2017 TREC Precision Medicine Track. TREC Vincent Nguyen, Sarvnaz Karimi, Sara Falamaki, Diego Mollá Aliod, Cécile Paris, Stephen Wan
2017	Misc	`conf`	Medication and Adverse Event Extraction from Noisy Text. ALTA Xiang Dai, Sarvnaz Karimi, Cécile Paris
2016	—	`conf`	CSIRO at TREC Clinical Decision Support Track. TREC Sarvnaz Karimi, Sara Falamaki, Vincent Nguyen
2016	—	`conf`	Concept Identification and Normalisation for Adverse Drug Event Discovery in Medical Forums. BMDID@ISWC Alejandro Metke-Jimenez, Sarvnaz Karimi
2016	Misc	`conf`	Evaluation of Retrieval Algorithms for Expertise Search. ADCS Gaya K. Jayasinghe, Sarvnaz Karimi, Melanie Ayre
2016	B	`conf`	Parallel Duplicate Detection in Adverse Drug Reaction Databases with Spark. EDBT Chen Wang, Sarvnaz Karimi
2016	Misc	`ed.`	Proceedings of the 21st Australasian Document Computing Symposium, ADCS 2016, Caulfield, VIC, Australia, December 5-7, 2016 ADCS Sarvnaz Karimi, Mark James Carman
2015	J	`jnl`	Automatic classification of diseases from free-text death certificates for real-time surveillance. BMC Medical Informatics Decis. Mak. Bevan Koopman, Sarvnaz Karimi, Anthony N. Nguyen, Rhydwyn McGuire, David Muscatello, Madonna Kemp, Donna Truran, Ming Zhang, Sarah Thackway
2015	—	`conf`	CADEminer: A System for Mining Consumer Reports on Adverse Drug Side Effects. ESAIR@CIKM Sarvnaz Karimi, Alejandro Metke-Jimenez, Anthony N. Nguyen
2015	J	`jnl`	Cadec: A corpus of adverse drug event annotations. J. Biomed. Informatics Sarvnaz Karimi, Alejandro Metke-Jimenez, Madonna Kemp, Chen Wang
2015	J	`jnl`	Concept Extraction to Identify Adverse Drug Reactions in Medical Forums: A Comparison of Algorithms. CoRR Alejandro Metke-Jimenez, Sarvnaz Karimi
2015	J	`jnl`	Evaluation Methods for Statistically Dependent Text. Comput. Linguistics Sarvnaz Karimi, Jie Yin, Jiri Baum
2015	Misc	`ed.`	Proceedings of the 20th Australasian Document Computing Symposium, ADCS 2015, Parramatta, NSW, Australia, December 8-9, 2015 ADCS Laurence Anthony F. Park, Sarvnaz Karimi
2015	J	`jnl`	Text and Data Mining Techniques in Adverse Drug Reaction Detection. ACM Comput. Surv. Sarvnaz Karimi, Chen Wang, Alejandro Metke-Jimenez, Raj Gaire, Cécile Paris
2015	A*	`conf`	Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract. IJCAI Jie Yin, Sarvnaz Karimi, Andrew Lampert, Mark A. Cameron, Bella Robinson, Robert Power
2014	Misc	`conf`	A Study of Querying Behaviour of Expert and Non-expert Users of Biomedical Search Systems. ADCS Sadegh Kharazmi, Sarvnaz Karimi, Falk Scholer, Adam Clark
2014	—	`conf`	Differences between social media and regulatory databases in adverse drug reaction discovery. SoMeRA@SIGIR Chen Wang, Sarvnaz Karimi
2014	—	`conf`	Evaluation of text-processing algorithms for adverse drug event extraction from social media. SoMeRA@SIGIR Alejandro Metke-Jimenez, Sarvnaz Karimi, Cécile Paris
2014	Misc	`conf`	Overview of the 2014 ALTA Shared Task: Identifying Expressions of Locations in Tweets. ALTA Diego Mollá, Sarvnaz Karimi
2014	Misc	`conf`	Pinpointing Locational Focus in Microblogs. ADCS Jie Yin, Sarvnaz Karimi, John Lingad
2013	Misc	`conf`	Classifying microblogs for disasters. ADCS Sarvnaz Karimi, Jie Yin, Cécile Paris
2013	—	`conf`	Location extraction from disaster-related microblogs. WWW (Companion Volume) John Lingad, Sarvnaz Karimi, Jie Yin
2013	Misc	`ed.`	Proceedings of the Australasian Language Technology Association Workshop, ALTA 2013, Brisbane, Australia, December 4-6, 2013 ALTA Sarvnaz Karimi, Karin Verspoor
2012	A	`conf`	ESA: emergency situation awareness via microbloggers. CIKM Jie Yin, Sarvnaz Karimi, Bella Robinson, Mark A. Cameron
2012	J	`jnl`	Quantifying the impact of concept recognition on biomedical information retrieval. Inf. Process. Manag. Sarvnaz Karimi, Justin Zobel, Falk Scholer
2012	—	`conf`	Searching and Filtering Tweets: CSIRO at the TREC 2012 Microblog Track. TREC Sarvnaz Karimi, Jie Yin, Paul Thomas
2011	A	`conf`	Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model. CIKM Scott Sanner, Shengbo Guo, Thore Graepel, Sadegh Kharazmi, Sarvnaz Karimi
2011	A*	`conf`	Domain expert topic familiarity and search behavior. SIGIR Sarvnaz Karimi, Falk Scholer, Adam Clark, Sadegh Kharazmi
2011	J	`jnl`	Machine transliteration survey. ACM Comput. Surv. Sarvnaz Karimi, Falk Scholer, Andrew Turpin
2011	—	`conf`	Search for Medical Records: NICTA at TREC 2011 Medical Track. TREC Sarvnaz Karimi, David Martínez, Sumukh Ghodke, Lawrence Cavedon, Hanna Suominen, Lumin Zhang
2010	—	`conf`	Best Topic Word Selection for Topic Labelling. COLING (Posters) Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy Baldwin
2010	J	`jnl`	Boolean versus ranked querying for biomedical systematic reviews. BMC Medical Informatics Decis. Mak. Sarvnaz Karimi, Stefan Pohl, Falk Scholer, Lawrence Cavedon, Justin Zobel
2010	—	`conf`	Evaluating topic models for digital libraries. JCDL David Newman, Youn Noh, Edmund M. Talley, Sarvnaz Karimi, Timothy Baldwin
2010	J	`jnl`	Visualizing search results and document collections using topic maps. J. Web Semant. David Newman, Timothy Baldwin, Lawrence Cavedon, Eric Huang, Sarvnaz Karimi, David Martínez, Falk Scholer, Justin Zobel
2009	—	`conf`	The challenge of high recall in biomedical systematic search. DTMBIO Sarvnaz Karimi, Justin Zobel, Stefan Pohl, Falk Scholer
2009	—	`conf`	Using Topic Models to Interpret MEDLINE's Medical Subject Headings. Australasian Conference on Artificial Intelligence David Newman, Sarvnaz Karimi, Lawrence Cavedon
2007	A*	`conf`	Collapsed Consonant and Vowel Models: New Approaches for English-Persian Transliteration and Back-Transliteration. ACL Sarvnaz Karimi, Falk Scholer, Andrew Turpin
2007	A*	`conf`	Corpus Effects on the Evaluation of Automated Transliteration Systems. ACL Sarvnaz Karimi, Andrew Turpin, Falk Scholer
2006	C	`conf`	English to Persian Transliteration. SPIRE Sarvnaz Karimi, Andrew Turpin, Falk Scholer