A large-scale, granular topic classification system for scientific documents

Gard B. Jenset, Peter J. Bevan, Akarsh Jain

Open source

DOI: 10.21203/rs.3.rs-6529718/v2
Published: 2026-03-31
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-6529718/v2,
  title = {A large-scale, granular topic classification system for scientific documents},
  author = {Gard B. Jenset and Peter J. Bevan and Akarsh Jain},
  year = {2026},
  doi = {10.21203/rs.3.rs-6529718/v2},
  url = {https://doi.org/10.21203/rs.3.rs-6529718/v2}
}

RIS

TY  - JOUR
TI  - A large-scale, granular topic classification system for scientific documents
AU  - Gard B. Jenset
AU  - Peter J. Bevan
AU  - Akarsh Jain
PY  - 2026
DO  - 10.21203/rs.3.rs-6529718/v2
UR  - https://doi.org/10.21203/rs.3.rs-6529718/v2
ER  -

APA

Jenset, G. B., Bevan, P. J., & Jain, A. (2026). A large-scale, granular topic classification system for scientific documents. https://doi.org/10.21203/rs.3.rs-6529718/v2

Source records

crossref · retrieved 2026-09-25T16:51:09.236Z