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VO-SemRep: To apply SemRep and VO to process PubMed papers for vaccine related information

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VO-SemRep

VO-SemRep: To apply SemRep and VO to process PubMed papers for vaccine related information.

SemRep is a UMLS-based program that extracts semantic predications (Subject-Predicate-Object) from sentences in biomedical text. Since the Vaccine Ontology (VO) is not in UMLS for now, we cannot us the default SemRep to process PubMed papers.

This project aims to customize SemRep to make it able to use VO to process vaccine-related biomedical literature, esp. PubMed literature.

This is a project initiated in the University of Michigan.

Developers:

  • Nor Danish Imran Bin Nor Hisham
  • Jie Zheng
  • Jinjing Guo
  • Oliver He

SemRep related links:

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