CSIRO at 2017 TREC Precision Medicine Track

Vincent Nguyen, Sarvnaz Karimi, Sara Falamaki, Diego Molla, Cecile Paris, Stephen Wan

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

We report on our participation as the CSIROmed team in the TREC 2017 Precision Medicine track. We submitted five runs for the scientific abstracts collection (MEDLINE and Cancer Proceedings), and five runs for the clinical trials collection. We experimented with a number of query expansion and search result re-ranking techniques. We used citation and MeSH-based re-ranking methods, as well as re-ranking based on a merging algorithm proposed for federated search. Our results show that boosting the gene variant in the query increases the relevance of the retrieved results. One of our five runs for clinical trials task was ranked in top
10 runs out of 133 runs submitted for this task.
Original languageEnglish
Title of host publicationThe Twenty-Sixth Text REtrieval Conference (TREC 2017) Proceedings
PublisherNational Institute of Standards and Technology
Number of pages5
Publication statusPublished - 2017
Event26th Text REtrieval Conference (TREC 2017) - Gaithersburg, United States
Duration: 15 Nov 201717 Nov 2017

Conference

Conference26th Text REtrieval Conference (TREC 2017)
CountryUnited States
CityGaithersburg
Period15/11/1717/11/17

Fingerprint Dive into the research topics of 'CSIRO at 2017 TREC Precision Medicine Track'. Together they form a unique fingerprint.

  • Cite this

    Nguyen, V., Karimi, S., Falamaki, S., Molla, D., Paris, C., & Wan, S. (2017). CSIRO at 2017 TREC Precision Medicine Track. In The Twenty-Sixth Text REtrieval Conference (TREC 2017) Proceedings National Institute of Standards and Technology.