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A Post-Analysis of Query Reformulation Methods for Clinical Trials Retrieval

Conference Paper
Publication Date:
2020
abstract:
The Precision Medicine (PM) track of the Text REtrieval Conference (TREC) focuses on providing useful precision medicine information to clinicians treating cancer patients. The PM track gives the unique opportunity to evaluate medical IR systems on two different collections: scientific literature and clinical trials. In this paper, we evaluate several state-of-the-art query expansion and reduction methods to see
whether a particular approach can be helpful in clinical trials retrieval. We present those approaches that are consistently effective in all three TREC PM editions and we compare them to the results obtained by the research groups who participated in all three editions.
Iris type:
04.01 - Contributo in atti di convegno
Keywords:
query reformulation, knowledge base, precision medicine
List of contributors:
Agosti, Maristella; Di Nunzio, G. M.; Marchesin, Stefano
Authors of the University:
AGOSTI MARISTELLA
DI NUNZIO GIORGIO MARIA
MARCHESIN STEFANO
Handle:
https://www.research.unipd.it/handle/11577/3346961
Full Text:
https://www.research.unipd.it//retrieve/handle/11577/3346961/1411142/2020-SEBD-agosti-dinunzio-marchesin-paper13.pdf
Book title:
SEBD 2020 - Italian Symposium on Advanced Database Systems, Proceedings of the 28th Italian Symposium on Advanced Database Systems
Published in:
CEUR WORKSHOP PROCEEDINGS
Journal
CEUR WORKSHOP PROCEEDINGS
Series
  • Overview

Overview

URL

http://ceur-ws.org/Vol-2646/13-paper.pdf
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