Information Extraction: An application to the domain of hyper-local financial data on developing countries

arXiv:2403.09077v1 Announce Type: new
Abstract: Despite the need for financial data on company activities in developing countries for development research and economic analysis, such data does not exist. In this project, we develop and evaluate two Natural Language Processing (NLP) based techniques to address this issue. First, we curate a custom dataset specific to the domain of financial text data on developing countries and explore multiple approaches for information extraction. We then explore a text-to-text approach with the transformer-based T5 …

abstract analysis application arxiv cs.cl data developing countries development domain economic extraction financial information information extraction issue language language processing natural natural language natural language processing nlp processing project research type