<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ralf Krestel</style></author><author><style face="normal" font="default" size="100%">René Witte</style></author><author><style face="normal" font="default" size="100%">Sabine Bergler</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Z. Kobti</style></author><author><style face="normal" font="default" size="100%">D. Wu</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Creating a Fuzzy Believer to Model Human Newspaper Readers</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 20th Canadian Conference on Artificial Intelligence (Canadian A.I. 2007)</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">LNAI</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May 28–30</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/content/8qhk0087835x4506/fulltext.pdf</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">http://www.semanticsoftware.info/system/files/fuzzy_believer_CAI2007.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Montréal, Québec, Canada</style></pub-location><volume><style face="normal" font="default" size="100%">4509</style></volume><pages><style face="normal" font="default" size="100%">489–501</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-72664-7</style></isbn><abstract><style face="normal" font="default" size="100%">We present a system capable of modeling human newspaper readers. It is based on the extraction of reported speech, which is subsequently converted into a fuzzy theory-based representation of single statements. A domain analysis then assigns statements to topics. A number of fuzzy set operators, including fuzzy belief revision, are applied to model different belief strategies. At the end, our system holds certain beliefs while rejecting others.</style></abstract><custom1><style face="normal" font="default" size="100%">Copyright © 2007 Springer-Verlag. This is the author's version of the work. It is posted here by permission of Springer for your personal use. Not for redistribution.</style></custom1><custom2><style face="normal" font="default" size="100%">17.7%</style></custom2></record></records></xml>
