Prof. Dr. Felix Naumann


Book chapter published

Tim Repke, Ralf Krestel

We are happy to announce, that our book chapter "Extraction and Representation of Financial Entities from Text" is now available as part of the book "Data Science for Economics and Finance". This book offers an interdisciplinary introduction to data science technology for improving forecasting and nowcasting for several types of economic and financial applications. We would like to thank the editors from the Joint Research Centre of the European Commission, who invited us to contribute to this book as well as the reviewers, who provided valuable feedback to improve our chapter.

Available as open access:

Chapter Abstract

In our modern society, almost all events, processes, and decisions in a corporation are documented by internal written communication, legal filings, or business and financial news. The valuable knowledge in such collections is not directly accessible by computers as they mostly consist of unstructured text. This chapter provides an overview of corpora commonly used in research and highlights related work and state-of-the-art approaches to extract and represent financial entities and relations.The second part of this chapter considers applications based on knowledge graphs of automatically extracted facts. Traditional information retrieval systems typically require the user to have prior knowledge of the data. Suitable visualization techniques can overcome this requirement and enable users to explore large sets of documents. Furthermore, data mining techniques can be used to enrich or filter knowledge graphs. This information can augment source documents and guide exploration processes. Systems for document exploration are tailored to specific tasks, such as investigative work in audits or legal discovery, monitoring compliance, or providing information in a retrieval system to support decisions.

  • Extraction and Representa... - Download
    Repke, Tim, en Ralf Krestel. “Extraction and Representation of Financial Entities from Text”. In Data Science for Economics and Finance, onder redaksie van S. Consoli, D. Reforgiato Recupero, en M. Saisana, 241–263. Springer, Cham, 2021. https://link.springer.com/chapter/10.1007/978-3-030-66891-4_11.