Search Results - "Rohanian, Omid"

Continuous patient state attention model for addressing irregularity in electronic health records by Chauhan, Vinod Kumar, Thakur, Anshul, O'Donoghue, Odhran, Rohanian, Omid, Molaei, Soheila, Clifton, David A

“…Irregular time series (ITS) are common in healthcare as patient data is recorded in an electronic health record (EHR) system as per clinical…”
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A protocol for a living mapping review of global research funding for infectious diseases with a pandemic potential - Pandemic PACT by Seminog, Olena, Furst, Rodrigo, Mendy, Thomas, Rohanian, Omid, Levanita, Shanthi, Kadri-Alabi, Zaharat, Jabin, Nusrat, Humphreys, Georgina, Antonio, Emilia, Bucher, Adrian, Norton, Alice

“…The COVID CIRCLE initiative Research Project Tracker by UKCDR and GloPID-R and associated living mapping review (LMR) showed the importance of sharing and…”
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On the effectiveness of compact biomedical transformers by Rohanian, Omid, Nouriborji, Mohammadmahdi, Kouchaki, Samaneh, Clifton, David A

“…Abstract Motivation Language models pre-trained on biomedical corpora, such as BioBERT, have recently shown promising results on downstream biomedical tasks…”
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Exploring the effectiveness of instruction tuning in biomedical language processing by Rohanian, Omid, Nouriborji, Mohammadmahdi, Kouchaki, Samaneh, Nooralahzadeh, Farhad, Clifton, Lei, Clifton, David A.

“…Large Language Models (LLMs), particularly those similar to ChatGPT, have significantly influenced the field of Natural Language Processing (NLP). While these…”
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Privacy-Aware Early Detection of COVID-19 Through Adversarial Training by Rohanian, Omid, Kouchaki, Samaneh, Soltan, Andrew, Yang, Jenny, Rohanian, Morteza, Yang, Yang, Clifton, David

“…Early detection of COVID-19 is an ongoing area of research that can help with triage, monitoring and general health assessment of potential patients and may…”
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Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks by Taylor, Niall, Ghose, Upamanyu, Rohanian, Omid, Nouriborji, Mohammadmahdi, Kormilitzin, Andrey, Clifton, David A., Nevado-Holgado, Alejo

“…The entry of large language models (LLMs) into research and commercial spaces has led to a trend of ever-larger models, with initial promises of…”
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Contributions to the Computational Treatment of Non-Literal Language by Rohanian, Omid

“…Non-literal language concerns the deliberate use of language in such a way that meaning cannot be inferred through a mere literal interpretation. In this…”
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A protocol for a living mapping review of global research funding for infectious diseases with a pandemic potential – Pandemic PACT by Seminog, Olena, Furst, Rodrigo, Mendy, Thomas, Rohanian, Omid, Levanita, Shanthi, Kadri-Alabi, Zaharat, Jabin, Nusrat, Humphreys, Georgina, Antonio, Emilia, Bucher, Adrian, Norton, Alice

“…The COVID CIRCLE initiative Research Project Tracker by UKCDR and GloPID-R and associated living mapping review (LMR) showed the importance of sharing and…”
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Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening by Soltan, Andrew A S, Yang, Jenny, Pattanshetty, Ravi, Novak, Alex, Yang, Yang, Rohanian, Omid, Beer, Sally, Soltan, Marina A, Thickett, David R, Fairhead, Rory, Zhu, Tingting, Eyre, David W, Clifton, David A, Watson, Adam, Bhargav, Akshay, Tough, Alex, Rogers, Alice, Shaikh, Ayisha, Valensise, Carolina, Lee, Charlotte, Otasowie, Claire, Metcalfe, David, Agarwal, Ekta, Zareh, Elham, Thangaraj, Evelyn, Pickles, Florence, Kelly, Gabriella, Tadikamalla, Gayatri, Shaw, George, Tong, Heather, Davies, Hettie, Bahra, Jasdeep, Morgan, Jessica, Wilson, Joe, Cutteridge, Joseph, O'Byrne, Katherine, Farache Trajano, Luiza, Oliver, Madeleine, Pikoula, Maria, Mendoza, Maya, Keevil, Melissa, Faisal, Muhammad, Dole, Natasha, Deal, Oscar, Conway-Jones, Rebecca, Sattar, Shajeel, Kundoor, Sneha, Shah, Sumaiyah, Muthusami, Vani

“…Uncertainty in patients' COVID-19 status contributes to treatment delays, nosocomial transmission, and operational pressures in hospitals. However, the typical…”
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Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing by Rohanian, Omid, Nouriborji, Mohammadmahdi, Clifton, David A

“…Large Language Models (LLMs), particularly those similar to ChatGPT, have significantly influenced the field of Natural Language Processing (NLP). While these…”
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Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression by Nouriborji, Mohammadmahdi, Rohanian, Omid, Clifton, David

“…This paper outlines the system using which team Nowruz participated in SemEval 2022 Task 7 Identifying Plausible Clarifications of Implicit and Underspecified…”
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SHOMA at Parseme Shared Task on Automatic Identification of VMWEs: Neural Multiword Expression Tagging with High Generalisation by Taslimipoor, Shiva, Rohanian, Omid

“…This paper presents a language-independent deep learning architecture adapted to the task of multiword expression (MWE) identification. We employ a neural…”
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MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers by Nouriborji, Mohammadmahdi, Rohanian, Omid, Kouchaki, Samaneh, Clifton, David A

“…Pre-trained Language Models (LMs) have become an integral part of Natural Language Processing (NLP) in recent years, due to their superior performance in…”
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On the Effectiveness of Compact Biomedical Transformers by Rohanian, Omid, Nouriborji, Mohammadmahdi, Kouchaki, Samaneh, Clifton, David A

“…Language models pre-trained on biomedical corpora, such as BioBERT, have recently shown promising results on downstream biomedical tasks. Many existing…”
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Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks by Taylor, Niall, Ghose, Upamanyu, Rohanian, Omid, Nouriborji, Mohammadmahdi, Kormilitzin, Andrey, Clifton, David, Nevado-Holgado, Alejo

“…The entry of large language models (LLMs) into research and commercial spaces has led to a trend of ever-larger models, with initial promises of…”
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Privacy-aware Early Detection of COVID-19 through Adversarial Training by Rohanian, Omid, Kouchaki, Samaneh, Soltan, Andrew, Yang, Jenny, Rohanian, Morteza, Yang, Yang, Clifton, David

“…Early detection of COVID-19 is an ongoing area of research that can help with triage, monitoring and general health assessment of potential patients and may…”
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Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine by Rohanian, Omid, Nouriborji, Mohammadmahdi, Seminog, Olena, Furst, Rodrigo, Mendy, Thomas, Levanita, Shanthi, Kadri-Alabi, Zaharat, Jabin, Nusrat, Toale, Daniela, Humphreys, Georgina, Antonio, Emilia, Bucher, Adrian, Norton, Alice, Clifton, David A

“…This paper introduces the Pandemic PACT Advanced Categorisation Engine (PPACE) along with its associated dataset. PPACE is a fine-tuned model developed to…”
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Large Language Models in the Clinic: A Comprehensive Benchmark by Liu, Fenglin, Li, Zheng, Zhou, Hongjian, Yin, Qingyu, Yang, Jingfeng, Tang, Xianfeng, Luo, Chen, Zeng, Ming, Jiang, Haoming, Gao, Yifan, Nigam, Priyanka, Nag, Sreyashi, Yin, Bing, Hua, Yining, Zhou, Xuan, Rohanian, Omid, Thakur, Anshul, Clifton, Lei, Clifton, David A

“…The adoption of large language models (LLMs) to assist clinicians has attracted remarkable attention. Existing works mainly adopt the close-ended…”
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Lightweight Transformers for Clinical Natural Language Processing by Rohanian, Omid, Nouriborji, Mohammadmahdi, Jauncey, Hannah, Kouchaki, Samaneh, Group, ISARIC Clinical Characterisation, Clifton, Lei, Merson, Laura, Clifton, David A

“…Nat. Lang. Eng. 30 (2024) 887-914 Specialised pre-trained language models are becoming more frequent in NLP since they can potentially outperform models…”
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Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints by Rohanian, Omid, Jauncey, Hannah, Nouriborji, Mohammadmahdi, Chauhan, Vinod Kumar, Gonçalves, Bronner P, Kartsonaki, Christiana, Group, ISARIC Clinical Characterisation, Merson, Laura, Clifton, David

“…Processing information locked within clinical health records is a challenging task that remains an active area of research in biomedical NLP. In this work, we…”
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