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Authors: Hendrik Roth 1 and Carsten Lanquillon 2

Affiliations: 1 Artificial Intelligence (M.Sc.), Johannes Kepler University Linz, Austria ; 2 Business Information Systems, Heilbronn University of Applied Sciences, Heilbronn, Germany

Keyword(s): Literature Review, Screening, Automation.

Abstract: The screening process needs the most time of a literature review. An automated approach saves a lot of time, making it easier for researchers to review literature. Most current approaches do not consider the full text for screening, which can cause the exclusion of relevant papers. The Automated LIterature Screening Engine (ALISE) performs full-text screening based on a research question about the retrieved papers of the literature search. With an average of 61.87% nWSS and a median of 74.38% nWSS, ALISE can save time for reviewers but cannot be used without human screening afterwards. Furthermore, ALISE is sensitive to the given research question(s).

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Paper citation in several formats:
Roth, H. and Lanquillon, C. (2024). ALISE: An Automated Literature Screening Engine for Research. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 453-461. DOI: 10.5220/0012415200003636

@conference{icaart24,
author={Hendrik Roth. and Carsten Lanquillon.},
title={ALISE: An Automated Literature Screening Engine for Research},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2024},
pages={453-461},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012415200003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - ALISE: An Automated Literature Screening Engine for Research
SN - 978-989-758-680-4
IS - 2184-433X
AU - Roth, H.
AU - Lanquillon, C.
PY - 2024
SP - 453
EP - 461
DO - 10.5220/0012415200003636
PB - SciTePress