Tags

Type your tag names separated by a space and hit enter

Exploring Unsupervised Query Paraphrasing to Identify Relevant Search Phrases for a Literature Review.
Stud Health Technol Inform. 2020 Jun 26; 272:429-432.SH

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.

Authors+Show Affiliations

Department of Nursing Science, University of Turku, Turku, Finland.Department of Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital and University of Turku, Turku, Finland.Department of Future Technologies, University of Turku, Turku, Finland.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32604694

Citation

Peltonen, Laura-Maria, et al. "Exploring Unsupervised Query Paraphrasing to Identify Relevant Search Phrases for a Literature Review." Studies in Health Technology and Informatics, vol. 272, 2020, pp. 429-432.
Peltonen LM, Tommila M, Moen H. Exploring Unsupervised Query Paraphrasing to Identify Relevant Search Phrases for a Literature Review. Stud Health Technol Inform. 2020;272:429-432.
Peltonen, L. M., Tommila, M., & Moen, H. (2020). Exploring Unsupervised Query Paraphrasing to Identify Relevant Search Phrases for a Literature Review. Studies in Health Technology and Informatics, 272, 429-432. https://doi.org/10.3233/SHTI200587
Peltonen LM, Tommila M, Moen H. Exploring Unsupervised Query Paraphrasing to Identify Relevant Search Phrases for a Literature Review. Stud Health Technol Inform. 2020 Jun 26;272:429-432. PubMed PMID: 32604694.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Exploring Unsupervised Query Paraphrasing to Identify Relevant Search Phrases for a Literature Review. AU - Peltonen,Laura-Maria, AU - Tommila,Miretta, AU - Moen,Hans, PY - 2020/7/2/entrez KW - Literature review KW - PubMed KW - health care leadership KW - search strategy KW - unsupervised paraphrasing KW - unsupervised query rewriting SP - 429 EP - 432 JF - Studies in health technology and informatics JO - Stud Health Technol Inform VL - 272 N2 - 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. SN - 1879-8365 UR - https://www.unboundmedicine.com/medline/citation/32604694/Exploring_Unsupervised_Query_Paraphrasing_to_Identify_Relevant_Search_Phrases_for_a_Literature_Review L2 - https://doi.org/10.3233/SHTI200587 DB - PRIME DP - Unbound Medicine ER -
Try the Free App:
Prime PubMed app for iOS iPhone iPad
Prime PubMed app for Android
Prime PubMed is provided
free to individuals by:
Unbound Medicine.