Can a Multichoice Dataset be Repurposed for Extractive Question Answering?

arXiv:2404.17342v1 Announce Type: new
Abstract: The rapid evolution of Natural Language Processing (NLP) has favored major languages such as English, leaving a significant gap for many others due to limited resources. This is especially evident in the context of data annotation, a task whose importance cannot be underestimated, but which is time-consuming and costly. Thus, any dataset for resource-poor languages is precious, in particular when it is task-specific. Here, we explore the feasibility of repurposing existing datasets for a new …

abstract annotation arxiv context cs.ai cs.cl data data annotation dataset english evolution gap importance language language processing languages major natural natural language natural language processing nlp processing question question answering resources type