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2020 – today
- 2022
[j1]Jianfu Li
, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu:
A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora. BMC Medical Informatics Decis. Mak. 22(3): 235 (2022)- 2021
- [c8]Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu:
Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora. ICHI 2021: 511-512
2010 – 2019
- 2018
- [c7]Omid Ghiasvand, Rohit J. Kate:
Learning for Biomedical Named Entity Recognition Without Manual Annotations. AMIA 2018 - 2017
- [c6]Omid Ghiasvand, Mary Shimoyama:
Novel Unsupervised Named Entity Recognition Used in Text Annotation Tool (OntoMate) At Rat Genome Database. BCB 2017: 590 - 2016
- [c5]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:
Disease Connections at RGD. AMIA 2016 - [c4]Omid Ghiasvand, Mary Shimoyama:
Introducing a Text Annotation Tool (OntoMate), Assisting Curation at Rat Genome Database. BCB 2016: 465 - 2015
- [c3]Omid Ghiasvand, Rohit J. Kate:
Biomedical Named Entity Recognition with less Supervision. ICHI 2015: 495 - [c2]Omid Ghiasvand, Rohit J. Kate:
UWM: A Simple Baseline Method for Identifying Attributes of Disease and Disorder Mentions in Clinical Text. SemEval@NAACL-HLT 2015: 385-388 - 2014
- [c1]Omid Ghiasvand, Rohit J. Kate:
UWM: Disorder Mention Extraction from Clinical Text Using CRFs and Normalization Using Learned Edit Distance Patterns. SemEval@COLING 2014: 828-832
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