@conference {KWB_AAAI2007,
	title = {Fuzzy Set Theory-Based Belief Processing for Natural Language Texts},
	booktitle = {Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI)},
	year = {2007},
	month = {July 22{\textendash}26},
	pages = {1878{\textendash}1879},
	publisher = {AAAI Press},
	organization = {AAAI Press},
	type = {Poster},
	address = {Vancouver, British Columbia, Canada},
	abstract = {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 artificial believer system we present in this paper is to extract and analyze opinionated statements from newspaper articles.

Beliefs are modeled with 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.},
	isbn = {978-1-57735-323-2},
	url = {http://www.aaai.org/Papers/AAAI/2007/AAAI07-999.pdf},
	attachments = {https://www.semanticsoftware.info/system/files/fuzzyBeliever-AAAI2007.pdf , https://www.semanticsoftware.info/system/files/fuzzybeliever-aaai2007.png},
	author = {Ralf Krestel and Ren{\'e} Witte and Sabine Bergler}
}
