April 19, 2024, 4:47 a.m. | Aitor Garc\'ia-Pablos, Naiara Perez, Montse Cuadros

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.12177v1 Announce Type: new
Abstract: The widespread availability of Question Answering (QA) datasets in English has greatly facilitated the advancement of the Natural Language Processing (NLP) field. However, the scarcity of such resources for minority languages, such as Basque, poses a substantial challenge for these communities. In this context, the translation and alignment of existing QA datasets plays a crucial role in narrowing this technological gap. This work presents EuSQuAD, the first initiative dedicated to automatically translating and aligning SQuAD2.0 …

abstract advancement arxiv availability challenge communities context cs.cl datasets english however language language processing languages natural natural language natural language processing nlp processing question question answering resources translated translation type

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