mlsanityData to 7 Oct 2026

Portuguese FAQ for Financial Services

arXiv 2311.11331 ↗First posted 19 Nov 2023cs.CL cs.AI cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 16 of its 22 references that are in the map. First posted on arXiv 19 Nov 2023.

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References · 16

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4 more
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