Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysis

arXiv:2404.06392v1 Announce Type: new
Abstract: Cross-lingual transfer-learning is widely used in Event Extraction for low-resource languages and involves a Multilingual Language Model that is trained in a source language and applied to the target language. This paper studies whether the typological similarity between source and target languages impacts the performance of cross-lingual transfer, an under-explored topic. We first focus on Basque as the target language, which is an ideal target language because it is typologically different from surrounding languages. Our …

abstract analysis arxiv cross-lingual cs.ai cs.cl event extraction impacts language language model languages low multilingual multilingual language model paper performance studies transfer type