We report on our participation as the IMS Unipd team in both TREC PM 2019 tasks. The objective of the work is twofold: (i) we want to evaluate how different query reformulations affect the results and whether the findings obtained in previous years remain valid; (ii) we want to verify if combining different query reformulations based on expansion and reduction techniques prove effective in such a highly specific scenario. In particular, we designed a procedure to (1) filter out clinical trials based on demographic data, (2) perform query reformulations – both expansion and reduction techniques – based on knowledge bases to increase the probability of findings relevant documents, (3) apply rank fusion techniques to the rankings produced by the different query formulations. We consider those query reformulations that have been validated on previous TREC PM experimental collections. These queries represent the most effective reformulations for our system on those topics/collections. The results obtained – especially in the clinical trials task – validate our assumptions and provide interesting insights in terms of the different per-topic effectiveness of the query reformulations.

Exploring how to Combine Query Reformulations for Precision Medicine

Giorgio Maria Di Nunzio;Stefano Marchesin
;
Maristella Agosti
2019

Abstract

We report on our participation as the IMS Unipd team in both TREC PM 2019 tasks. The objective of the work is twofold: (i) we want to evaluate how different query reformulations affect the results and whether the findings obtained in previous years remain valid; (ii) we want to verify if combining different query reformulations based on expansion and reduction techniques prove effective in such a highly specific scenario. In particular, we designed a procedure to (1) filter out clinical trials based on demographic data, (2) perform query reformulations – both expansion and reduction techniques – based on knowledge bases to increase the probability of findings relevant documents, (3) apply rank fusion techniques to the rankings produced by the different query formulations. We consider those query reformulations that have been validated on previous TREC PM experimental collections. These queries represent the most effective reformulations for our system on those topics/collections. The results obtained – especially in the clinical trials task – validate our assumptions and provide interesting insights in terms of the different per-topic effectiveness of the query reformulations.
2019
Proceedings of the Twenty-Eighth Text REtrieval Conference, TREC 2019, Gaithersburg, Maryland, USA, November 13-15, 2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3334124
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