A1 Refereed original research article in a scientific journal

Exploring unsupervised query paraphrasing to identify relevant search phrases for a literature review




AuthorsLaura-Maria Peltonen, Miretta Tommila, Hans Moen

PublisherIOS Press

Publication year2020

JournalStudies in Health Technology and Informatics

Journal name in sourceStudies in Health Technology and Informatics

Volume272

First page 429

Last page432

ISBN9781643680927

eISSN1879-8365

DOIhttps://doi.org/10.3233/SHTI200587

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/49031625


Abstract

Literature databases have multifaceted search options, but emerging research areas do not have an established terminology and therefore it is difficult to find relevant literature when conducting a review. This study aimed to explore if an unsupervised paraphrasing approach is useful in identifying relevant search phrases for a literature review on an emerging research topic – situational leadership in critical care. Using an initial set of 12 search phrases, the system was used to propose additional phrases, which were manually classified and further used in an expanded PubMed database search. Finally, we assessed the papers found with the expanded search and compared this to the initial search results. As a result, the expanded search more than tripled the search results, from 182 to 673 papers. The expanded search also more than tripled the number of relevant papers, from 12 in the original search to 39 in the expanded search.


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Last updated on 2024-26-11 at 19:29