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2020 – today
- 2024
[j6]Niall Taylor
, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo J. Nevado-Holgado:
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks. Artif. Intell. Medicine 157: 103002 (2024)- [j5]Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, Farhad Nooralahzadeh, Lei A. Clifton, David A. Clifton:
Exploring the effectiveness of instruction tuning in biomedical language processing. Artif. Intell. Medicine 158: 103007 (2024) - [j4]Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton:
Continuous patient state attention model for addressing irregularity in electronic health records. BMC Medical Informatics Decis. Mak. 24(1): 117 (2024) - [j3]Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Farhad Nooralahzadeh, Lei A. Clifton, Laura Merson, David A. Clifton:
Lightweight transformers for clinical natural language processing. Nat. Lang. Eng. 30(5): 887-914 (2024) - [c15]Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton:
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. EMNLP 2024: 13696-13710 - [i12]Omid Rohanian, Mohammadmahdi Nouriborji, David A. Clifton:
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing. CoRR abs/2401.00579 (2024) - [i11]Niall Taylor, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo J. Nevado-Holgado:
Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks. CoRR abs/2402.10597 (2024) - [i10]Andrew Liu, Hongjian Zhou, Yining Hua, Omid Rohanian, Lei A. Clifton, David A. Clifton:
Large Language Models in Healthcare: A Comprehensive Benchmark. CoRR abs/2405.00716 (2024) - [i9]Omid Rohanian, Mohammadmahdi Nouriborji, Olena Seminog, Rodrigo Furst, Thomas Mendy, Shanthi Levanita, Zaharat Kadri-Alabi, Nusrat Jabin, Daniela Toale, Georgina S. Humphreys, Emilia Antonio, Adrian Bucher, Alice Norton, David A. Clifton:
Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine. CoRR abs/2407.10086 (2024) - 2023
- [j2]Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton:
On the effectiveness of compact biomedical transformers. Bioinform. 39(3) (2023) - [j1]Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton:
Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. IEEE J. Biomed. Health Informatics 27(3): 1249-1258 (2023) - [c14]Omid Rohanian, Hannah Jauncey, Mohammadmahdi Nouriborji, Vinod Kumar, Bronner P. Gonçalves, Christiana Kartsonaki, Isaric Clinical Characterisation Group, Laura Merson, David A. Clifton:
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints. BioNLP@ACL 2023: 62-78 - [c13]Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton:
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. EACL 2023: 1153-1165 - [c12]Morteza Rohanian, Farhad Nooralahzadeh, Omid Rohanian, David A. Clifton, Michael Krauthammer:
Disfluent Cues for Enhanced Speech Understanding in Large Language Models. EMNLP (Findings) 2023: 3676-3684 - [i8]Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Lei A. Clifton, Laura Merson, David A. Clifton:
Lightweight Transformers for Clinical Natural Language Processing. CoRR abs/2302.04725 (2023) - 2022
- [c11]Mohammadmahdi Nouriborji, Omid Rohanian, David A. Clifton:
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression. SemEval@NAACL 2022: 1071-1077 - [i7]Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton:
Privacy-aware Early Detection of COVID-19 through Adversarial Training. CoRR abs/2201.03004 (2022) - [i6]Mohammadmahdi Nouriborji, Omid Rohanian, David A. Clifton:
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression. CoRR abs/2204.00556 (2022) - [i5]Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton:
On the Effectiveness of Compact Biomedical Transformers. CoRR abs/2209.03182 (2022) - [i4]Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton:
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. CoRR abs/2210.06425 (2022) - [i3]Omid Rohanian, Hannah Jauncey, Mohammadmahdi Nouriborji, Bronner P. Gonçalves, Christiana Kartsonaki, Laura Merson, David A. Clifton:
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints. CoRR abs/2210.09440 (2022) - 2020
- [b1]Omid Rohanian:
Contributions to the computational treatment of non-literal language. University of Wolverhampton, UK, 2020 - [c10]Omid Rohanian, Marek Rei, Shiva Taslimipoor, Le An Ha:
Verbal Multiword Expressions for Identification of Metaphor. ACL 2020: 2890-2895
2010 – 2019
- 2019
- [c9]Shiva Taslimipoor, Omid Rohanian, Le An Ha:
Cross-lingual Transfer Learning and Multitask Learning for Capturing Multiword Expressions. MWE-WN@ACL 2019: 155-161 - [c8]Omid Rohanian, Shiva Taslimipoor, Samaneh Kouchaki, Le An Ha, Ruslan Mitkov:
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions. NAACL-HLT (1) 2019: 2692-2698 - [c7]Shiva Taslimipoor, Omid Rohanian, Sara Moze:
GCN-Sem at SemEval-2019 Task 1: Semantic Parsing using Graph Convolutional and Recurrent Neural Networks. SemEval@NAACL-HLT 2019: 102-106 - [i2]Omid Rohanian, Shiva Taslimipoor, Samaneh Kouchaki, Le An Ha, Ruslan Mitkov:
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions. CoRR abs/1902.10667 (2019) - 2018
- [c6]Omid Rohanian, Shiva Taslimipoor, Richard Evans, Ruslan Mitkov:
WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony. SemEval@NAACL-HLT 2018: 553-559 - [c5]Shiva Taslimipoor, Omid Rohanian, Le An Ha, Gloria Corpas Pastor, Ruslan Mitkov:
Wolves at SemEval-2018 Task 10: Semantic Discrimination based on Knowledge and Association. SemEval@NAACL-HLT 2018: 972-976 - [i1]Shiva Taslimipoor, Omid Rohanian:
SHOMA at Parseme Shared Task on Automatic Identification of VMWEs: Neural Multiword Expression Tagging with High Generalisation. CoRR abs/1809.03056 (2018) - 2017
- [c4]Victoria Yaneva, Constantin Orasan, Richard Evans, Omid Rohanian:
Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilities. BEA@EMNLP 2017: 121-132 - [c3]Victoria Yaneva, Shiva Taslimipoor, Omid Rohanian, Le An Ha:
Cognitive Processing of Multiword Expressions in Native and Non-native Speakers of English: Evidence from Gaze Data. Europhras 2017: 363-379 - [c2]Shiva Taslimipoor, Omid Rohanian, Ruslan Mitkov, Afsaneh Fazly:
Investigating the Opacity of Verb-Noun Multiword Expression Usages in Context. MWE@EACL 2017: 133-138 - [c1]Omid Rohanian, Shiva Taslimipoor, Victoria Yaneva, Le An Ha:
Using Gaze Data to Predict Multiword Expressions. RANLP 2017: 601-609
Coauthor Index
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