Extraction of Numerical Facts from German Texts to Enrich Internal Audit Data

Author:

Schumann Gerrit,Marx Gómez Jorge

Publisher

Springer Nature Switzerland

Reference21 articles.

1. Huang, F., No, W. G., Vasarhelyi, M. A., & Yan, Z. (2022). Audit data analytics, machine learning, and full population testing. The Journal of Finance and Data Science, 8, 138–144.

2. No, W. G., Lee, K., Huang, F., & Li, Q. (2019). Multidimensional audit data selection (MADS): A framework for using data analytics in audit data selection process. Accounting Horizons, 33(3), 127–140.

3. Banko, M., Cafarella, M. J., Soderland, S., Broadhead, M., & Etzioni, O. (2007). Open information extraction from the web. In Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI ‘07 (pp. 2670–26760). AAAI.

4. Bassa, A., Kröll, M., & Kern, R. (2018). GerIE—An open information extraction system for the German language. Journal of Universal Computer Science, 24(1), 2–24.

5. Akbik, A., & Löser, A. (2012). Kraken: Nary facts in open information extraction. In Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, AKBC-WEKEX’12 (pp. 52–56). Association for Computational Linguistics.

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