Hasso-Plattner-Institut
  
Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Publications

Modeling human newspaper readers: The Fuzzy Believer approach

Ralf Krestel, Sabine Bergler, René Witte
Natural Language Engineering , vol. 20(2):261–288 4 2014

DOI: http://dx.doi.org/10.1017/S1351324912000289

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 Fuzzy Believer system presented in this paper is to extract and analyze statements of opinion from newspaper articles. Beliefs are modeled using the fuzzy set theory, applied after Natural Language Processing-based information extraction. The Fuzzy Believer models a human agent, deciding what statements to believe or reject based on a range of configurable strategies.

BibTeX file

@article{krestel14nlp,
author = { Ralf Krestel, Sabine Bergler, René Witte },
title = { Modeling human newspaper readers: The Fuzzy Believer approach },
journal = { Natural Language Engineering },
year = { 2014 },
volume = { 20 },
number = { 2 },
pages = { 261--288 },
month = { 4 },
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 Fuzzy Believer system presented in this paper is to extract and analyze statements of opinion from newspaper articles. Beliefs are modeled using the fuzzy set theory, applied after Natural Language Processing-based information extraction. The Fuzzy Believer models a human agent, deciding what statements to believe or reject based on a range of configurable strategies. },
priority = { 0 }
}

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last change: Sun, 31 May 2015 18:16:57 +0200