15 citations · 71 across the 12 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.IR2020
Exploring task-based query expansion at the TREC-COVID track
Thomas Schoegje, Chris Kamphuis, Koen Dercksen +3
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…
cs.IR2020★ 1 cited
Reducing Misinformation in Query Autocompletions
Djoerd Hiemstra
Query autocompletions help users of search engines to speed up their searches by recommending completions of partially typed queries in a drop down box. These recommended query aut…
cs.CL2020★ 6 cited
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Jan Trienes, Dolf Trieschnigg, Christin Seifert +1
Unstructured information in electronic health records provide an invaluable resource for medical research. To protect the confidentiality of patients and to conform to privacy regu…