Ukrainian Texts Classification: Exploration of Cross-lingual Knowledge Transfer Approaches

arXiv:2404.02043v1 Announce Type: new
Abstract: Despite the extensive amount of labeled datasets in the NLP text classification field, the persistent imbalance in data availability across various languages remains evident. Ukrainian, in particular, stands as a language that still can benefit from the continued refinement of cross-lingual methodologies. Due to our knowledge, there is a tremendous lack of Ukrainian corpora for typical text classification tasks. In this work, we leverage the state-of-the-art advances in NLP, exploring cross-lingual knowledge transfer methods avoiding …

abstract arxiv availability benefit classification cross-lingual cs.ai cs.cl data datasets exploration knowledge language languages nlp text text classification transfer type