Hello, My name is Fabian Billert and I'm interested in the project "EDGAR-CRAWLER: Democratizing accessibility to Financial NLP documents". I'm a PhD student located in Düsseldorf, Germany, and I'm mostly focused on research in the financial NLP domain. While working on financial information extraction from different types of data, I have participated in some related workshops in the last 2 years: In two FinNLP workshops, I used different techniques to work with corporate sustainability information, and in another workshop on multimodal AI for financial forecasting I used sentiments extracted from news articles to create a sentiment-steered financial index. You can see some of the papers I presented there on my google scholar page at the bottom, although some of the work is still in the process of being published. During my work with different sources of data, I also wondered about extracting information from the SEC databases and found the EDGAR-CRAWLER project while looking for solutions. I am very excited about expanding the capabilities of the project and creating an easy access for even more information. While thinking about the project, I also had some other ideas that might be interesting - for one, would it not be possible to automate the process of creating regular expressions using generative LLMs? This might accelerate the project a lot and also help with similar kinds of projects. I am also wondering if you are planning to create a user interface for the extracted data. Other than that, do you have any other plans for new features after we have finished adding new types of company filings? I'm excited to hear back from you soon. Best regards, Fabian Billert My CV: https://www.overleaf.com/read/yqfbrzpqbnzf#8e1844 My LinkedIn: https://www.linkedin.com/in/fabian-billert-38b54b156/ My GoogleScholar: https://scholar.google.de/citations?user=jTcST-gAAAAJ&hl=de
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