Techniques, Performance, and Feasibility of Natural Language Processing for Abstract Screening in Evidence Synthesis: A Systematic Review

Ravi Shankar, Ziyu Goh, Qian Xu

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DOI: 10.1177/18911803261469813
Published: 2026-07-16
Container: Campbell Systematic Reviews: Better Evidence for a Better World
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/18911803261469813,
  title = {Techniques, Performance, and Feasibility of Natural Language Processing for Abstract Screening in Evidence Synthesis: A Systematic Review},
  author = {Ravi Shankar and Ziyu Goh and Qian Xu},
  year = {2026},
  journal = {Campbell Systematic Reviews: Better Evidence for a Better World},
  doi = {10.1177/18911803261469813},
  url = {https://doi.org/10.1177/18911803261469813}
}

RIS

TY  - JOUR
TI  - Techniques, Performance, and Feasibility of Natural Language Processing for Abstract Screening in Evidence Synthesis: A Systematic Review
AU  - Ravi Shankar
AU  - Ziyu Goh
AU  - Qian Xu
PY  - 2026
JO  - Campbell Systematic Reviews: Better Evidence for a Better World
DO  - 10.1177/18911803261469813
UR  - https://doi.org/10.1177/18911803261469813
ER  -

APA

Shankar, R., Goh, Z., & Xu, Q. (2026). Techniques, Performance, and Feasibility of Natural Language Processing for Abstract Screening in Evidence Synthesis: A Systematic Review. Campbell Systematic Reviews: Better Evidence for a Better World. https://doi.org/10.1177/18911803261469813

Source records

crossref · retrieved 2026-09-25T15:43:57.652Z