Hey BERT! Meet the Databases: Explorations of Bidirectional Encoder Representation from Transformers Model Use in Database Search Algorithms
Author:
Affiliation:
1. Laupus Library, East Carolina University, Greenville, NC, USA
2. Eastern AHEC Library Services, Greenville, NC, USA
3. Information and Research Services Librarian, Laupus Library, East Carolina University, Greenville, NC, USA
Publisher
Informa UK Limited
Subject
Library and Information Sciences,Health (social science)
Link
https://www.tandfonline.com/doi/pdf/10.1080/15424065.2021.1955073
Reference16 articles.
1. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova, “BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding,” Preprint, https://arxiv.org/abs/1810.04805v2 (submitted May 24, 2019).
2. Paths of Discovery: Comparing the Search Effectiveness of EBSCO Discovery Service, Summon, Google Scholar, and Conventional Library Resources
3. The Boolean is Dead, Long Live the Boolean! Natural Language versus Boolean Searching in Introductory Undergraduate Instruction
4. Barry Schwartz, “Google: BERT Now Used on Almost Every English Query.” Search Engine Land, https://searchengineland.com/google-bert-used-on-almost-every-english-query-342193 (October 15, 2020).
5. Jacob Devlin, and Ming-Wei Chang, “Google AI Blog: Open Sourcing BERT: State-of-the-Art Pre-Training for Natural Language Processing.” Google AI Blog, https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html (November 2, 2018).
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Artificial Intelligence in Subject-Specific Library Work;Canadian Journal of Academic Librarianship;2023-08-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3