Term Selection for Query Expansion in Medical Cross-Lingual Information Retrieval
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405603" target="_blank" >RIV/00216208:11320/19:10405603 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-15712-8_33" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-15712-8_33</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Term Selection for Query Expansion in Medical Cross-Lingual Information Retrieval
Original language description
We present a method for automatic query expansion for cross-lingual information retrieval in the medical domain. The method employs machine translation of source-language queries into a document language and linear regression to predict the retrieval performance for each translated query when expanded with a candidate term. Candidate terms (in the document language) come from multiple sources: query translation hypotheses obtained from the machine translation system, Wikipedia articles and PubMed abstracts. Query expansion is applied only when the model predicts a score for a candidate term that exceeds a tuned threshold which allows to expand queries with strongly related terms only. Our experiments are conducted using the CLEF eHealth 2013-2015 test collection and show significant improvements in both cross-lingual and monolingual settings.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Information Retrieval; 41st European Conference on IR Research, ECIR 2019
ISBN
978-3-030-15719-7
ISSN
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e-ISSN
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Number of pages
16
Pages from-to
507-522
Publisher name
Springer International Publishing
Place of publication
Berlin, Germany
Event location
Köln am Rhein, Germany
Event date
Apr 14, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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