Hey BERT! Meet the Databases: Explorations of Bidirectional Encoder Representation from Transformers Model Use in Database Search Algorithms

Q2 Social Sciences
J. Coghill, Heidi Reis
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引用次数: 1

Abstract

Abstract Bidirectional Encoder Representations from Transformers (BERT) is an open-source algorithm that allows for easier searching in search engines as it looks for natural language combinations in Google. The same algorithm could be applied to free database resources and commercial databases to make searching easier for users. This article examines the possibilities of BERT in resources other than Google. Many of our users come to database searching using Google type searches only to find controlled vocabulary is the way in which many databases are structured. If BERT is incorporated into popular databases along with controlled vocabulary, searching for information and finding it would be much easier for novice and advanced users, though careful consideration should be given to the search bias the algorithm may induce.
嘿伯特!与数据库相遇:从变压器模型在数据库搜索算法中的应用探索双向编码器表示
摘要来自Transformers的双向编码器表示(BERT)是一种开源算法,当它在谷歌中寻找自然语言组合时,可以更容易地在搜索引擎中进行搜索。同样的算法可以应用于免费的数据库资源和商业数据库,使用户更容易进行搜索。本文考察了BERT在谷歌以外的资源中的可能性。我们的许多用户使用谷歌类型的搜索来进行数据库搜索,结果却发现受控词汇表是许多数据库的结构化方式。如果BERT与受控词汇一起被纳入流行数据库,那么对于新手和高级用户来说,搜索信息和找到信息会容易得多,尽管应该仔细考虑算法可能引发的搜索偏见。
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来源期刊
Journal of Electronic Resources in Medical Libraries
Journal of Electronic Resources in Medical Libraries Social Sciences-Library and Information Sciences
CiteScore
0.70
自引率
0.00%
发文量
18
期刊介绍: The Journal of Electronic Resources in Medical Libraries is a peer-reviewed professional journal devoted to the access, evaluation, and management of electronic resources in the medical library environment. This journal will be an essential resource for academic medical school libraries, hospital libraries, and other health sciences libraries. The material in the Journal of Electronic Resources in Medical Libraries will complement articles published in Medical Reference Services Quarterly (also edited by M. Sandra Wood), which highlights the reference and bibliographic instruction aspects of electronic resources.
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