• Corpus ID: 3900213

Team UKNLP at TREC 2017 Precision Medicine Track: A Knowledge-Based IR System with Tuned Query-Time Boosting

  title={Team UKNLP at TREC 2017 Precision Medicine Track: A Knowledge-Based IR System with Tuned Query-Time Boosting},
  author={Jiho Noh and Ramakanth Kavuluru},
This paper describes the system architecture of the University of Kentucky Natural Language Processing (UKNLP) team’s entry for the TREC 2017 Precision Medicine Track. The goal of the challenge is to retrieve useful precision medicinerelated information (abstracts, clinical trials) for the given synthetic cancer patient cases, each of which consists of a neoplastic condition, genetic variants, demographic details, and any additional information (e.g., comorbidities). We explored query expansion… 
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