RANLP 07
Processing of Beliefs extracted from Reported Speech in Newspaper Articles
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 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.
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RANLP 2007
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