@inproceedings{scholars19078,
           pages = {1983--1987},
       publisher = {Association for Computational Linguistics},
         journal = {17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop},
           title = {HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-Information for Multi-Level Sexism Classification},
            year = {2023},
            note = {cited By 0; Conference of 17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 ; Conference Date: 13 July 2023 Through 14 July 2023; Conference Code:192857},
        abstract = {We present the findings of our participation in the SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) task, a shared task on offensive language (sexism) detection on English Gab and Reddit dataset. We investigated the effects of transferring two language models: XLM-T (sentiment classification) and HateBERT (same domain - Reddit) for multilevel classification into Sexist or not Sexist, and other subsequent sub-classifications of the sexist data. We also use synthetic classification of unlabelled dataset and intermediary class information to maximize the performance of our models. We submitted a system in Task A, and it ranked 49th with F1-score of 0.82. This result showed to be competitive as it only under-performed the best system by 0.052 F1-score. {\^A}{\copyright} 2023 Association for Computational Linguistics.},
        keywords = {Computational linguistics; Semantics; Transfer learning, Data informations; F1 scores; Language model; Multi-level classifications; Multilevels; Offensive languages; Sentiment classification; Side information; Synthetic data; Transfer learning, Classification (of information)},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175400718&partnerID=40&md5=50bd07eed227e02d3ae47e0fe7e50f81},
            isbn = {9781959429999},
          author = {Aliyu, S. M. and Abdulmumin, I. and Muhammad, S. H. and Ahmad, I. S. and Salahudeen, S. A. and Yusuf, A. and Lawan, F. I.}
}