Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilities. - Victoria Yaneva; Constantin Orasan; Richard Evans 002; Omid Rohanian (BEA@EMNLP, 2017)

Cognitive Processing of Multiword Expressions in Native and Non-native Speakers of English: Evidence from Gaze Data. - Victoria Yaneva; Shiva Taslimipoor; Omid Rohanian; Le An Ha (Europhras, 2017)

Investigating the Opacity of Verb-Noun Multiword Expression Usages in Context. - Shiva Taslimipoor; Omid Rohanian; Ruslan Mitkov; Afsaneh Fazly (MWE@EACL, 2017)

Using Gaze Data to Predict Multiword Expressions. - Omid Rohanian; Shiva Taslimipoor; Victoria Yaneva; Le An Ha (RANLP, 2017)

WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony. - Omid Rohanian; Shiva Taslimipoor; Richard Evans 002; Ruslan Mitkov (SemEval@NAACL-HLT, 2018)

Wolves at SemEval-2018 Task 10: Semantic Discrimination based on Knowledge and Association. - Shiva Taslimipoor; Omid Rohanian; Le An Ha; Gloria Corpas Pastor; Ruslan Mitkov (SemEval@NAACL-HLT, 2018)

SHOMA at Parseme Shared Task on Automatic Identification of VMWEs: Neural Multiword Expression Tagging with High Generalisation. - Shiva Taslimipoor; Omid Rohanian (CoRR, 2018)

Cross-lingual Transfer Learning and Multitask Learning for Capturing Multiword Expressions. - Shiva Taslimipoor; Omid Rohanian; Le An Ha (MWE-WN@ACL, 2019)

Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions. - Omid Rohanian; Shiva Taslimipoor; Samaneh Kouchaki; Le An Ha; Ruslan Mitkov (NAACL-HLT (1), 2019)

GCN-Sem at SemEval-2019 Task 1: Semantic Parsing using Graph Convolutional and Recurrent Neural Networks. - Shiva Taslimipoor; Omid Rohanian; Sara Moze (SemEval@NAACL-HLT, 2019)

Verbal Multiword Expressions for Identification of Metaphor. - Omid Rohanian; Marek Rei; Shiva Taslimipoor; Le An Ha (ACL, 2020)

Contributions to the computational treatment of non-literal language. - Omid Rohanian (2020)

Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression. - Mohammadmahdi Nouriborji; Omid Rohanian; David A. Clifton (SemEval@NAACL, 2022)

Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints. - Omid Rohanian; Hannah Jauncey; Mohammadmahdi Nouriborji; Bronner P. Gonçalves; Christiana Kartsonaki; Laura Merson; David A. Clifton (CoRR, 2022)

Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints. - Omid Rohanian; Hannah Jauncey; Mohammadmahdi Nouriborji; Vinod Kumar; Bronner P. Gonçalves; Christiana Kartsonaki; Isaric Clinical Characterisation Group; Laura Merson; David A. Clifton (BioNLP@ACL, 2023)

MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. - Mohammadmahdi Nouriborji; Omid Rohanian; Samaneh Kouchaki; David A. Clifton (EACL, 2023)

Disfluent Cues for Enhanced Speech Understanding in Large Language Models. - Morteza Rohanian; Farhad Nooralahzadeh; Omid Rohanian; David A. Clifton; Michael Krauthammer (EMNLP (Findings), 2023)

Lightweight Transformers for Clinical Natural Language Processing. - Omid Rohanian; Mohammadmahdi Nouriborji; Hannah Jauncey; Samaneh Kouchaki; Lei A. Clifton; Laura Merson; David A. Clifton (CoRR, 2023)

On the effectiveness of compact biomedical transformers. - Omid Rohanian; Mohammadmahdi Nouriborji; Samaneh Kouchaki; David A. Clifton (Bioinform., 2023)

Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. - Omid Rohanian; Samaneh Kouchaki; Andrew A. S. Soltan; Jenny Yang; Morteza Rohanian; Yang Yang 125; David A. Clifton (IEEE J. Biomed. Health Informatics, 2023)

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. - Fenglin Liu; Zheng Li 018; Hongjian Zhou; Qingyu Yin; Jingfeng Yang 001; Xianfeng Tang; Chen Luo 003; Ming Zeng 001; Haoming Jiang; Yifan Gao 001; Priyanka Nigam; Sreyashi Nag; et al. (EMNLP, 2024)

Exploring the effectiveness of instruction tuning in biomedical language processing. - Omid Rohanian; Mohammadmahdi Nouriborji; Samaneh Kouchaki; Farhad Nooralahzadeh; Lei A. Clifton; David A. Clifton (Artif. Intell. Medicine, 2024)

Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks. - Niall Taylor; Upamanyu Ghose; Omid Rohanian; Mohammadmahdi Nouriborji; Andrey Kormilitzin; David A. Clifton; Alejo J. Nevado-Holgado (Artif. Intell. Medicine, 2024)

Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing. - Omid Rohanian; Mohammadmahdi Nouriborji; David A. Clifton (CoRR, 2024)

Large Language Models in Healthcare: A Comprehensive Benchmark. - Andrew Liu; Hongjian Zhou; Yining Hua; Omid Rohanian; Lei A. Clifton; David A. Clifton (CoRR, 2024)

Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine. - 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; et al. (CoRR, 2024)

Lightweight transformers for clinical natural language processing. - Omid Rohanian; Mohammadmahdi Nouriborji; Hannah Jauncey; Samaneh Kouchaki; Farhad Nooralahzadeh; Lei A. Clifton; Laura Merson; David A. Clifton (Nat. Lang. Eng., 2024)

Continuous patient state attention model for addressing irregularity in electronic health records. - Vinod Kumar Chauhan; Anshul Thakur; Odhran O'Donoghue; Omid Rohanian; Soheila Molaei; David A. Clifton (BMC Medical Informatics Decis. Mak., 2024)