UWM: Disorder Mention Extraction from Clinical Text Using CRFs and Normalization Using Learned Edit Distance Patterns. - Omid Ghiasvand; Rohit J. Kate (SemEval@COLING, 2014)

Biomedical Named Entity Recognition with less Supervision. - Omid Ghiasvand; Rohit J. Kate (ICHI, 2015)

UWM: A Simple Baseline Method for Identifying Attributes of Disease and Disorder Mentions in Clinical Text. - Omid Ghiasvand; Rohit J. Kate (SemEval@NAACL-HLT, 2015)

Disease Connections at RGD. - Mary Shimoyama; Stanley J. F. Laulederkind; Jeff de Pons; Marek Tutaj; Victoria Petri; G. Thomas Hayman; Shur-Jen Wang; Rajni Nigam; Jennifer R. Smith; Jyothi Thota; Omid Ghiasvand; Melinda R. Dwinell (AMIA, 2016)

Introducing a Text Annotation Tool (OntoMate), Assisting Curation at Rat Genome Database. - Omid Ghiasvand; Mary Shimoyama (BCB, 2016)

Novel Unsupervised Named Entity Recognition Used in Text Annotation Tool (OntoMate) At Rat Genome Database. - Omid Ghiasvand; Mary Shimoyama (BCB, 2017)

Learning for Biomedical Named Entity Recognition Without Manual Annotations. - Omid Ghiasvand; Rohit J. Kate (AMIA, 2018)

Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora. - Jianfu Li; Qiang Wei 002; Omid Ghiasvand; Miao Chen; Victor S. Lobanov; Chunhua Weng; Hua Xu 001 (ICHI, 2021)

A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora. - Jianfu Li; Qiang Wei 002; Omid Ghiasvand; Miao Chen; Victor S. Lobanov; Chunhua Weng; Hua Xu 001 (BMC Medical Informatics Decis. Mak., 2022)

Reconciling an AI-based chatbot with established library services. - Timo Borst; Omid Ghiasvand (JCDL, 2024)