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2020 – today
- 2024
[j18]Crispin Almodovar
, Fariza Sabrina, Sarvnaz Karimi, Salahuddin A. Azad:
LogFiT: Log Anomaly Detection Using Fine-Tuned Language Models. IEEE Trans. Netw. Serv. Manag. 21(2): 1715-1723 (2024)- [c61]Biaoyan Fang, Ritvik Dinesh, Xiang Dai, Sarvnaz Karimi:
Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective. ACL (Short Papers) 2024: 409-424 - [c60]Hashem Hijazi, Diego Mollá, Vincent Nguyen, Sarvnaz Karimi:
Using Large Language Models to Evaluate Biomedical Query-Focused Summarisation. BioNLP@ACL 2024: 236-242 - [i15]Xiang Dai, Sarvnaz Karimi, Nathan O'Callaghan:
Identifying Health Risks from Family History: A Survey of Natural Language Processing Techniques. CoRR abs/2403.09997 (2024) - [i14]Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, Cécile Paris:
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction. CoRR abs/2405.18015 (2024) - [i13]Xiang Dai, Sarvnaz Karimi, Biaoyan Fang:
A Critical Look at Meta-evaluating Summarisation Evaluation Metrics. CoRR abs/2409.19507 (2024) - 2023
- [j17]Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing:
DeBEIR: A Python Package for Dense Bi-Encoder Information Retrieval. J. Open Source Softw. 8(87): 5017 (2023) - [c59]Skyler Zou, Xiang Dai, Grant Brinkworth, Pennie Taylor, Sarvnaz Karimi:
Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet. BioNLP@ACL 2023: 406-412 - [c58]Mong Yuan Sim, Xiang Dai, Maciej Rybinski, Sarvnaz Karimi:
CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models. BioNLP@ACL 2023: 629-635 - [c57]Maciej Rybinski, Vincent Nguyen, Sarvnaz Karimi:
A Self-Learning Resource-Efficient Re-Ranking Method for Clinical Trials Search. CIKM 2023: 4249-4253 - [c56]Xiang Dai, Sarvnaz Karimi, Stephen Wan:
Rethinking the Role of Entity Type in Relation Classification. IJCNLP (1) 2023: 374-384 - [c55]Vincent Nguyen, Sarvnaz Karimi, Maciej Rybinski, Zhenchang Xing:
MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines. IJCNLP (1) 2023: 629-648 - [c54]Maciej Rybinski, Stephen Wan, Sarvnaz Karimi, Cécile Paris, Brian Jin, Neil I. Huth, Peter J. Thorburn, Dean P. Holzworth:
SciHarvester: Searching Scientific Documents for Numerical Values. SIGIR 2023: 3135-3139 - [d1]Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing:
DeBEIR: A Python Package for Dense Bi-Encoder Information Retrieval. Zenodo, 2023
- [i12]Stefan Hajkowicz, Conrad Sanderson, Sarvnaz Karimi, Alexandra Bratanova, Claire K. Naughtin:
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 abs/2306.09145 (2023) - 2022
- [j16]Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi, Zhenchang Xing:
Search like an expert: Reducing expertise disparity using a hybrid neural index for COVID-19 queries. J. Biomed. Informatics 127: 104005 (2022) - [c53]Maciej Rybinski, Liam Watts, Sarvnaz Karimi:
A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking. SIGIR 2022: 3318-3322 - [c52]Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi:
Matching a Patient from An Admission Note to Clinical Trials: Experiments with Query Generation and Neural-Ranking. TREC 2022 - [i11]Xiang Dai, Sarvnaz Karimi:
Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods. CoRR abs/2211.13819 (2022) - 2021
- [j15]Sonit Singh, Sarvnaz Karimi, Kevin Ho-Shon, Len Hamey:
Show, tell and summarise: learning to generate and summarise radiology findings from medical images. Neural Comput. Appl. 33(13): 7441-7465 (2021) - [c51]Maciej Rybinski, Sarvnaz Karimi:
Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search. CIKM 2021: 3403-3407 - [c50]Xiang Dai, Maciej Rybinski, Sarvnaz Karimi:
SearchEHR: A Family History Search System for Clinical Decision Support. CIKM 2021: 4701-4705 - [c49]Maciej Rybinski, Sarvnaz Karimi, Aleney Khoo:
Science2Cure: A Clinical Trial Search Prototype. SIGIR 2021: 2620-2624 - [c48]Maciej Rybinski, Vincent Nguyen, Sarvnaz Karimi:
CSIROmed Team Report of TREC 2021 Clinical Trials track: Experiments with BERT Reranking Methods. TREC 2021 - 2020
- [j14]Maciej Rybinski, Sarvnaz Karimi, Vincent Nguyen, Cécile Paris:
A2A: a platform for research in biomedical literature search. BMC Bioinform. 21-S(19): 572 (2020) - [j13]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective. ACM Comput. Surv. 52(6): 119:1-119:19 (2020) - [j12]Wenyi Tay, Xiuzhen Zhang, Sarvnaz Karimi:
Beyond mean rating: Probabilistic aggregation of star ratings based on helpfulness. J. Assoc. Inf. Sci. Technol. 71(7): 784-799 (2020) - [j11]Hamed Hassanzadeh, Sarvnaz Karimi, Anthony N. Nguyen:
Matching patients to clinical trials using semantically enriched document representation. J. Biomed. Informatics 105: 103406 (2020) - [j10]Maciej Rybinski, Jerry Xu, Sarvnaz Karimi:
Clinical trial search: Using biomedical language understanding models for re-ranking. J. Biomed. Informatics 109: 103530 (2020) - [c47]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
An Effective Transition-based Model for Discontinuous NER. ACL 2020: 5860-5870 - [c46]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. EMNLP (Findings) 2020: 1675-1681 - [c45]Maciej Rybinski, Sarvnaz Karimi:
CSIROmed at TREC Precision Medicine 2020. TREC 2020 - [i10]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
An Effective Transition-based Model for Discontinuous NER. CoRR abs/2004.13454 (2020) - [i9]Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi, Zhenchang Xing:
Searching Scientific Literature for Answers on COVID-19 Questions. CoRR abs/2007.02492 (2020) - [i8]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. CoRR abs/2010.01150 (2020)
2010 – 2019
- 2019
- [c44]Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris:
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. ACL (1) 2019: 1142-1147 - [c43]Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran:
NNE: A Dataset for Nested Named Entity Recognition in English Newswire. ACL (1) 2019: 5176-5181 - [c42]Wenyi Tay, Aditya Joshi, Xiuzhen Zhang, Sarvnaz Karimi, Stephen Wan:
Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation. ALTA 2019: 52-60 - [c41]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics. ALTA 2019: 151-158 - [c40]Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing:
Investigating the Effect of Lexical Segmentation in Transformer-based Models on Medical Datasets. ALTA 2019: 165-171 - [c39]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. BioNLP@ACL 2019: 135-141 - [c38]Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing:
ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge. BioNLP@ACL 2019: 478-487 - [c37]Sonit Singh, Sarvnaz Karimi, Kevin Ho-Shon, Len Hamey:
Biomedical Concept Detection in Medical Images: MQ-CSIRO at 2019 ImageCLEFmed Caption Task. CLEF (Working Notes) 2019 - [c36]Sonit Singh, Sarvnaz Karimi, Kevin Ho-Shon, Len Hamey:
From Chest X-Rays to Radiology Reports: A Multimodal Machine Learning Approach. DICTA 2019: 1-8 - [c35]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Using Similarity Measures to Select Pretraining Data for NER. NAACL-HLT (1) 2019: 1460-1470 - [c34]Vincent Nguyen, Sarvnaz Karimi, Brian Jin:
An Experimentation Platform for Precision Medicine. SIGIR 2019: 1357-1360 - [c33]Maciej Rybinski, Sarvnaz Karimi, Cécile Paris:
CSIRO at 2019 TREC Precision Medicine Track. TREC 2019 - [i7]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective. CoRR abs/1903.05801 (2019) - [i6]Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Using Similarity Measures to Select Pretraining Data for NER. CoRR abs/1904.00585 (2019) - [i5]Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cécile Paris, James R. Curran:
NNE: A Dataset for Nested Named Entity Recognition in English Newswire. CoRR abs/1906.01359 (2019) - [i4]Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris:
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. CoRR abs/1906.05466 (2019) - [i3]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. CoRR abs/1906.05468 (2019) - 2018
- [j9]Hamed Hassanzadeh, Anthony N. Nguyen, Sarvnaz Karimi, Kevin Chu:
Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports. J. Biomed. Informatics 85: 68-79 (2018) - [c32]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:
Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings. AMIA 2018 - [c31]Sonit Singh, Kevin Ho-Shon, Sarvnaz Karimi, Len Hamey:
Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning. IVCNZ 2018: 1-9 - [c30]Sarvnaz Karimi, Vincent Nguyen, Falk Scholer, Brian Jin, Sara Falamaki:
A2A: Benchmark Your Clinical Decision Support Search. SIGIR 2018: 1277-1280 - [c29]Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. SMM4H@EMNLP 2018: 43-47 - [i2]Vincent Nguyen, Sarvnaz Karimi, Sara Falamaki, Cécile Paris:
Benchmarking Clinical Decision Support Search. CoRR abs/1801.09322 (2018) - 2017
- [c28]Xiang Dai, Sarvnaz Karimi, Cécile Paris:
Medication and Adverse Event Extraction from Noisy Text. ALTA 2017: 79-87 - [c27]Sarvnaz Karimi, Xiang Dai, Hamed Hassanzadeh, Anthony N. Nguyen:
Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods. BioNLP 2017: 328-332 - [c26]Vincent Nguyen, Sarvnaz Karimi, Sara Falamaki, Diego Mollá Aliod, Cécile Paris, Stephen Wan:
CSIRO at 2017 TREC Precision Medicine Track. TREC 2017 - 2016
- [c25]Gaya K. Jayasinghe, Sarvnaz Karimi, Melanie Ayre:
Evaluation of Retrieval Algorithms for Expertise Search. ADCS 2016: 85-88 - [c24]Chen Wang, Sarvnaz Karimi:
Parallel Duplicate Detection in Adverse Drug Reaction Databases with Spark. EDBT 2016: 551-562 - [c23]Alejandro Metke-Jimenez, Sarvnaz Karimi:
Concept Identification and Normalisation for Adverse Drug Event Discovery in Medical Forums. BMDID@ISWC 2016 - [c22]Sarvnaz Karimi, Sara Falamaki, Vincent Nguyen:
CSIRO at TREC Clinical Decision Support Track. TREC 2016 - [e3]Sarvnaz Karimi, Mark James Carman:
Proceedings of the 21st Australasian Document Computing Symposium, ADCS 2016, Caulfield, VIC, Australia, December 5-7, 2016. ACM 2016, ISBN 978-1-4503-4865-2 [contents] - 2015
- [j8]Sarvnaz Karimi, Jie Yin, Jiri Baum:
Evaluation Methods for Statistically Dependent Text. Comput. Linguistics 41(3): 539-548 (2015) - [j7]Sarvnaz Karimi, Chen Wang, Alejandro Metke-Jimenez, Raj Gaire, Cécile Paris:
Text and Data Mining Techniques in Adverse Drug Reaction Detection. ACM Comput. Surv. 47(4): 56:1-56:39 (2015) - [j6]Sarvnaz Karimi, Alejandro Metke-Jimenez, Madonna Kemp, Chen Wang:
Cadec: A corpus of adverse drug event annotations. J. Biomed. Informatics 55: 73-81 (2015) - [j5]Bevan Koopman, Sarvnaz Karimi, Anthony N. Nguyen, Rhydwyn McGuire, David Muscatello, Madonna Kemp, Donna Truran, Ming Zhang, Sarah Thackway:
Automatic classification of diseases from free-text death certificates for real-time surveillance. BMC Medical Informatics Decis. Mak. 15: 53 (2015) - [c21]Sarvnaz Karimi, Alejandro Metke-Jimenez, Anthony N. Nguyen:
CADEminer: A System for Mining Consumer Reports on Adverse Drug Side Effects. ESAIR@CIKM 2015: 47-50 - [c20]Jie Yin, Sarvnaz Karimi, Andrew Lampert, Mark A. Cameron, Bella Robinson, Robert Power:
Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract. IJCAI 2015: 4234-4239 - [e2]Laurence Anthony F. Park, Sarvnaz Karimi:
Proceedings of the 20th Australasian Document Computing Symposium, ADCS 2015, Parramatta, NSW, Australia, December 8-9, 2015. ACM 2015, ISBN 978-1-4503-4040-3 [contents] - [i1]Alejandro Metke-Jimenez, Sarvnaz Karimi:
Concept Extraction to Identify Adverse Drug Reactions in Medical Forums: A Comparison of Algorithms. CoRR abs/1504.06936 (2015) - 2014
- [c19]Diego Mollá, Sarvnaz Karimi:
Overview of the 2014 ALTA Shared Task: Identifying Expressions of Locations in Tweets. ALTA 2014: 151-156 - [c18]Sadegh Kharazmi, Sarvnaz Karimi, Falk Scholer, Adam Clark:
A Study of Querying Behaviour of Expert and Non-expert Users of Biomedical Search Systems. ADCS 2014: 10 - [c17]Jie Yin, Sarvnaz Karimi, John Lingad:
Pinpointing Locational Focus in Microblogs. ADCS 2014: 66 - [c16]Chen Wang, Sarvnaz Karimi:
Differences between social media and regulatory databases in adverse drug reaction discovery. SoMeRA@SIGIR 2014: 13-14 - [c15]Alejandro Metke-Jimenez, Sarvnaz Karimi, Cécile Paris:
Evaluation of text-processing algorithms for adverse drug event extraction from social media. SoMeRA@SIGIR 2014: 15-20 - 2013
- [c14]Sarvnaz Karimi, Jie Yin, Cécile Paris:
Classifying microblogs for disasters. ADCS 2013: 26-33 - [c13]John Lingad, Sarvnaz Karimi, Jie Yin:
Location extraction from disaster-related microblogs. WWW (Companion Volume) 2013: 1017-1020 - [e1]Sarvnaz Karimi, Karin Verspoor:
Proceedings of the Australasian Language Technology Association Workshop, ALTA 2013, Brisbane, Australia, December 4-6, 2013. ACL 2013 [contents] - 2012
- [j4]Sarvnaz Karimi, Justin Zobel, Falk Scholer:
Quantifying the impact of concept recognition on biomedical information retrieval. Inf. Process. Manag. 48(1): 94-106 (2012) - [c12]Jie Yin, Sarvnaz Karimi, Bella Robinson, Mark A. Cameron:
ESA: emergency situation awareness via microbloggers. CIKM 2012: 2701-2703 - [c11]Sarvnaz Karimi, Jie Yin, Paul Thomas:
Searching and Filtering Tweets: CSIRO at the TREC 2012 Microblog Track. TREC 2012 - 2011
- [j3]Sarvnaz Karimi, Falk Scholer, Andrew Turpin:
Machine transliteration survey. ACM Comput. Surv. 43(3): 17:1-17:46 (2011) - [c10]Scott Sanner, Shengbo Guo, Thore Graepel, Sadegh Kharazmi, Sarvnaz Karimi:
Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model. CIKM 2011: 1977-1980 - [c9]Sarvnaz Karimi, Falk Scholer, Adam Clark, Sadegh Kharazmi:
Domain expert topic familiarity and search behavior. SIGIR 2011: 1135-1136 - [c8]Sarvnaz Karimi, David Martínez, Sumukh Ghodke, Lawrence Cavedon, Hanna Suominen, Lumin Zhang:
Search for Medical Records: NICTA at TREC 2011 Medical Track. TREC 2011 - 2010
- [j2]Sarvnaz Karimi, Stefan Pohl, Falk Scholer, Lawrence Cavedon, Justin Zobel:
Boolean versus ranked querying for biomedical systematic reviews. BMC Medical Informatics Decis. Mak. 10: 58 (2010) - [j1]David Newman, Timothy Baldwin, Lawrence Cavedon, Eric Huang, Sarvnaz Karimi, David Martínez, Falk Scholer, Justin Zobel:
Visualizing search results and document collections using topic maps. J. Web Semant. 8(2-3): 169-175 (2010) - [c7]Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy Baldwin:
Best Topic Word Selection for Topic Labelling. COLING (Posters) 2010: 605-613 - [c6]David Newman, Youn Noh, Edmund M. Talley, Sarvnaz Karimi, Timothy Baldwin:
Evaluating topic models for digital libraries. JCDL 2010: 215-224
2000 – 2009
- 2009
- [c5]David Newman, Sarvnaz Karimi, Lawrence Cavedon:
Using Topic Models to Interpret MEDLINE's Medical Subject Headings. Australasian Conference on Artificial Intelligence 2009: 270-279 - [c4]Sarvnaz Karimi, Justin Zobel, Stefan Pohl, Falk Scholer:
The challenge of high recall in biomedical systematic search. DTMBIO 2009: 89-92 - 2007
- [c3]Sarvnaz Karimi, Falk Scholer, Andrew Turpin:
Collapsed Consonant and Vowel Models: New Approaches for English-Persian Transliteration and Back-Transliteration. ACL 2007 - [c2]Sarvnaz Karimi, Andrew Turpin, Falk Scholer:
Corpus Effects on the Evaluation of Automated Transliteration Systems. ACL 2007 - 2006
- [c1]Sarvnaz Karimi, Andrew Turpin, Falk Scholer:
English to Persian Transliteration. SPIRE 2006: 255-266
Coauthor Index
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last updated on 2024-11-08 21:29 CET by the dblp team
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