Model overview
This model is fine-tuned to detect offensive language in Greek texts (Twitter & Fiction). - Pretrained on `nlpaueb/bert-base-greek-uncased-v1` - Fine-tuned on a custom offensive language detection dataset, namely the AIKIA corpus. @inproceedings{markantonatou-etal-2024-corpus, title = {The Corpus {AIKIA}: Using Ranking Annotation for Offensive Language Detection in {M}odern {G}reek}, author = {Markantonatou, Stella and Stamou, Vivian and Christodoulou, Christina and Apostolopoulou, Georgia and Balas, Antonis and Ioannakis, George}, editor = {Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen}, booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}, month = {may}, year = {2024}, address = {Torino, Italia}, publisher = {ELRA and ICCL}, url = {https://aclanthology.org/2024.lrec-main.1378}, pages = {15861--15871}
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
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Source prices & cost analysis
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Estimate monthly base token costs
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Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Sources & traceability
许可证：cc-by-nc-4.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。