金融服务葡萄牙语FAQ
Portuguese FAQ for Financial Services
AI总结：
本研究针对葡萄牙语金融领域数据稀缺问题，利用数据增强技术生成合成数据，基于巴西中央银行FAQ进行扩充，通过有监督和无监督任务评估其在不同语义相似度场景下的影响，并公开数据集以促进NLP研究。
摘要：
葡萄牙语金融领域特定数据的稀缺阻碍了自然语言处理（NLP）应用的发展。为解决这一局限，本研究主张利用通过数据增强技术生成的合成数据。研究重点是增强源自巴西中央银行FAQ的数据集，采用在语义相似度上有所变化的技术。通过有监督和无监督任务，评估增强数据在低和高语义相似度场景下的影响。此外，最终数据集将在Hugging Face Datasets平台上公开发布，从而增强可访问性并促进NLP研究社区的广泛参与。
英文摘要：
Scarcity of domain-specific data in the Portuguese financial domain has disfavored the development of Natural Language Processing (NLP) applications. To address this limitation, the present study advocates for the utilization of synthetic data generated through data augmentation techniques. The investigation focuses on the augmentation of a dataset sourced from the Central Bank of Brazil FAQ, employing techniques that vary in semantic similarity. Supervised and unsupervised tasks are conducted to evaluate the impact of augmented data on both low and high semantic similarity scenarios. Additionally, the resultant dataset will be publicly disseminated on the Hugging Face Datasets platform, thereby enhancing accessibility and fostering broader engagement within the NLP research community.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
