Exploring task-based query expansion at the TREC-COVID track
Publication date
2020-10-23
Authors
Schoegje, Thomas
Kamphuis, Chris
Dercksen, Koen
Hiemstra, Djoerd
Pieters, Toine
Vries, Arjen de
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Document Type
/dk/atira/pure/researchoutput/researchoutputtypes/workingpaper/preprint
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Abstract
We explore how to generate effective queries based on search tasks. Our approach has three main steps: 1) identify search tasks based on research goals, 2) manually classify search queries according to those tasks, and 3) compare three methods to improve search rankings based on the task context. The most promising approach is based on expanding the user's query terms using task terms, which slightly improved the NDCG@20 scores over a BM25 baseline. Further improvements might be gained if we can identify more specific search tasks.
Keywords
cs.IR
Citation
Schoegje, T, Kamphuis, C, Dercksen, K, Hiemstra, D, Pieters, T & Vries, A D 2020 'Exploring task-based query expansion at the TREC-COVID track' arXiv, pp. 1-16. https://doi.org/10.48550/arXiv.2010.12674