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Evaluation of Attention-Based LSTM and Bi-LSTM Networks For Abstract Text Classification in Systematic Literature Review Automation

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dc.contributor.authorOfori-Boateng, Regina
dc.contributor.authorAceves-Martins, Magaly
dc.contributor.authorJayne, Chrisina
dc.contributor.authorWiratunga, Nirmalie
dc.contributor.authorMoreno-Garcia, Carlos Francisco
dc.contributor.institutionUniversity of Aberdeen.Rowett Instituteen
dc.date.accessioned2024-01-16T11:59:00Z
dc.date.available2024-01-16T11:59:00Z
dc.date.issued2023
dc.descriptionFunding Information: The authors would like to thank members of the COMO project 6 for supporting this research.en
dc.description.statusPeer revieweden
dc.format.extent13
dc.format.extent619946
dc.identifier282754051
dc.identifier9d37f24f-4407-4a63-9757-691695a50f52
dc.identifier85175845426
dc.identifier.citationOfori-Boateng, R, Aceves-Martins, M, Jayne, C, Wiratunga, N & Moreno-Garcia, C F 2023, 'Evaluation of Attention-Based LSTM and Bi-LSTM Networks For Abstract Text Classification in Systematic Literature Review Automation', Procedia Computer Science, vol. 222, pp. 114-126. https://doi.org/10.1016/j.procs.2023.08.149en
dc.identifier.doi10.1016/j.procs.2023.08.149
dc.identifier.issn1877-0509
dc.identifier.otherORCID: /0000-0002-9441-142X/work/151302201
dc.identifier.urihttps://hdl.handle.net/2164/22561
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85175845426&partnerID=8YFLogxKen
dc.identifier.vol222en
dc.language.isoeng
dc.relation.ispartofProcedia Computer Scienceen
dc.subjectabstract screeningen
dc.subjectartificial intelligenceen
dc.subjectBi-LSTMen
dc.subjectdeep learningen
dc.subjectLSTMen
dc.subjectmachine learningen
dc.subjectSystematic literature reviewen
dc.subjectGeneral Computer Scienceen
dc.titleEvaluation of Attention-Based LSTM and Bi-LSTM Networks For Abstract Text Classification in Systematic Literature Review Automationen
dc.typeJournal itemen

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