Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification

Nan Li, Bo Kang, Tijl De Bie

Open source

DOI
10.1007/s10994-025-06993-w
Published
2026-03-31
Container
Machine Learning
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s10994-025-06993-w,
  title = {Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification},
  author = {Nan Li and Bo Kang and Tijl De Bie},
  year = {2026},
  journal = {Machine Learning},
  doi = {10.1007/s10994-025-06993-w},
  url = {https://doi.org/10.1007/s10994-025-06993-w}
}

RIS

TY  - JOUR
TI  - Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification
AU  - Nan Li
AU  - Bo Kang
AU  - Tijl De Bie
PY  - 2026
JO  - Machine Learning
DO  - 10.1007/s10994-025-06993-w
UR  - https://doi.org/10.1007/s10994-025-06993-w
ER  - 

APA

Li, N., Kang, B., & Bie, T. D. (2026). Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification. Machine Learning. https://doi.org/10.1007/s10994-025-06993-w

Source records