A Compact Pretraining Approach for Neural Language Models. - Shahriar Golchin; Mihai Surdeanu; Nazgol Tavabi; Ata M. Kiapour (CoRR, 2022)

Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER. - Shilpa Suresh; Nazgol Tavabi; Shahriar Golchin; Leah Gilreath; Rafael Garcia-Andujar; Alexander Kim; Joseph Murray; Blake Bacevich; Ata M. Kiapour (BioNLP@ACL, 2023)

Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords. - Shahriar Golchin; Mihai Surdeanu; Nazgol Tavabi; Ata M. Kiapour (RepL4NLP@ACL, 2023)

Disparities in cannabis use and documentation in electronic health records among children and young adults. - Nazgol Tavabi; Marium Raza; Mallika Singh; Shahriar Golchin; Harsev Singh; Grant D. Hogue; Ata M. Kiapour (npj Digit. Medicine, 2023)

Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline. - Nazgol Tavabi; James D. Pruneski; Shahriar Golchin; Mallika Singh; Ryan Sanborn; Benton Heyworth; Assaf Landschaft; Amir A. Kimia; Ata M. Kiapour (Artif. Intell. Medicine, 2024)