https://github.com/aida-ugent/cross-domain-htc
Science Score: 36.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○Scientific vocabulary similarity
Low similarity (6.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: aida-ugent
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 33.2 KB
Statistics
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Cross-Domain Resources for Text Classification with Hierarchical Labels
This repository is the companion for the paper ``Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification.''
📊 Datasets
We provide a collection of seven diverse datasets for hierarchical text classification, spanning legal, scientific, medical, and patent domains. Each dataset comes with gold-standard taxonomies, making them ideal for developing and evaluating hierarchical text classification methods.
| Dataset | Domain | Documents | Labels | Hierarchy Depth | Avg Length | |---------|--------|-----------|---------|----------------|------------| | EurLex-3985 | Legal | 19,306 | 3,985 | 2 | 2,635 | | EurLex-DC-410 | Legal | 19,340 | 410 | 2 | 2,635 | | WOS-141 | Scientific | 46,985 | 141 | 2 | 200 | | SciHTC-83 | Scientific | 186,160 | 83 | 6 | 145 | | SciHTC-800 | Scientific | 186,160 | 800 | 6 | 145 | | MIMIC3-3681 | Medical | 52,712 | 3,681 | 3* | 1,514 | | USPTO2M-632 | Patent | 1,998,408 | 632 | 2* | 117 |
* Expanded hierarchy for certain methods (see paper for details)
🚀 Getting Started
Please fill the Consent Form to get access to the datasets.
💻 Code
Please see src/README.md for more details.
📚 Citation
If you find this repository useful, please cite our paper:
@misc{li2024stateoftheartcomedomaincrossdomain,
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={2024},
eprint={2412.12744},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2412.12744},
}
Owner
- Name: Ghent University Artificial Intelligence & Data Analytics Group
- Login: aida-ugent
- Kind: organization
- Email: tijl.debie@ugent.be
- Location: Ghent
- Website: aida.ugent.be
- Repositories: 36
- Profile: https://github.com/aida-ugent
GitHub Events
Total
- Watch event: 1
- Push event: 2
- Public event: 1
Last Year
- Watch event: 1
- Push event: 2
- Public event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Nan Li | n****i@u****e | 7 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
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Past Year
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