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- W2184865242 abstract "This report describes the participation of the team of Charles University in Prague at the ShARe/CLEF eHealth Evaluation Lab in 2014. We took part in Task 3 (User-Centered Health Information Re- trieval) and its both subtasks (monolingual and multilingual retrieval). Our system was based on the Terrier platform and its implementation of the Hiemstra retrieval model. We experimented with several methods for data cleaning and automatic spelling correction of query terms. For data cleaning, the most eective method was to employ simple HTML markup removal. The more advanced cleaning methods which remove boilerplate decreased retrieval performance. Automatic correction of spelling errors performed on the English queries for the monolingual task proved to be ecient and leaded to our best P@10 score equal to 0.5360. In the mul- tilingual retrieval task, we employed the Khresmoi medical translation system developed at the Charles University in Prague and translated the source queries from Czech, German, and French to English and employed the same retrieval system as for the monolingual task. The cross-lingual retrieval performance measured by P@10 relative to the scores obtained in the monolingual task ranged between 80% and 90% depending on the source language of the queries." @default.
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- W2184865242 date "2014-01-01" @default.
- W2184865242 modified "2023-09-28" @default.
- W2184865242 title "CUNI at the ShARe/CLEF eHealth Evaluation Lab 2014" @default.
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