| Title | Fuzzy Set Theory-Based Belief Processing for Natural Language Texts |
| Publication Type | Conference Paper |
| Year of Publication | 2007 |
| Refereed Designation | Refereed |
| Authors | Krestel, R. [2], R. Witte [3], and S. Bergler [4] |
| Conference Name | Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI) |
| Pagination | 1878–1879 |
| Date Published | July 22–26 |
| Publisher | AAAI Press |
| Conference Location | Vancouver, British Columbia, Canada |
| Type of Work | Poster |
| ISBN Number | 978-1-57735-323-2 |
| 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. |
| URL | http://www.aaai.org/Papers/AAAI/2007/AAAI07-999.pdf [5] |
| Copyright | Copyright © 2007 AAAI Press. It is posted here by permission of AAAI for your personal use. Not for redistribution. |
| Attachment | Size |
|---|---|
| fuzzyBeliever-AAAI2007.pdf [6] | 79.96 KB |
| fuzzybeliever-aaai2007.png [7] | 205.48 KB |
