Krestel, R., R. Witte, and S. Bergler, "{Fuzzy Set Theory-Based Belief Processing for Natural Language Texts}", Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI), Vancouver, British Columbia, Canada, AAAI Press, pp. 1878–1879, July 22–26, 2007.

Krestel, R., Automatic Analysis and Reasoning on Reported Speech in Newspaper Articles, , Karlsruhe, Germany, Universität Karlsruhe (TH), Fakultät für Informatik, Institut für Programmstrukturen und Datenorganisation (IPD), 2007.

Lockemann, P. C., and R. Witte, "{Agents and Databases: Friends or Foes?}", Ninth International Database Engineering and Applications Symposium (IDEAS 2005), Montréal, Québec, Canada, pp. 137–147, July 25–27, 2005.

Kobti, Z., and D. Wu (Eds.), Krestel, R., R. Witte, and S. Bergler, "{Creating a Fuzzy Believer to Model Human Newspaper Readers}", Proceedings of the 20th Canadian Conference on Artificial Intelligence (Canadian A.I. 2007), vol. 4509, Montréal, Québec, Canada, Springer, pp. 489–501, May 28–30, 2007.

The growing number of publicly available information sources makes it impossible for individuals to keep track of all the various opinions on one topic. The goal of our fuzzy believer system presented in this paper is to extract and analyze statements of opinion from newspaper articles.

Beliefs are modeled using a fuzzy-theoretic approach applied after NLP-based information extraction. A fuzzy believer models a human agent, deciding what statements to believe or reject based on different, configurable strategies.