Processing of Beliefs extracted from Reported Speech in Newspaper Articles

A fuzzy believer?

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.

Reference

Ralf Krestel, René Witte and Sabine Bergler. Processing of Beliefs extracted from Reported Speech in Newspaper Articles. International Conference on Recent Advances in Natural Language Processing (RANLP 2007), September 27-29, 2007, Borovets, Bulgaria.

Bibtex entry (also for download [1]):

@InProceedings{KrWiBe07,
  author =       {Ralf Krestel, Ren{\'{e}} Witte, and Sabine Bergler},
  title =        {{Processing of Beliefs extracted from 
                  Reported Speech in Newspaper Articles}},
  booktitle =    {International Conference on Recent Advances 
                  in Natural Language Processing (RANLP 2007)},
  year =         {2007},
  address =      {Borovets, Bulgaria},
  month =        {September 27--29},
  url   =        {http://rene-witte.net/fuzzy-artificial-believer}
}

You can also visit the conference website [2], which comes with lots of pictures... [3]

Download

Our paper: 178_krestel.pdf [4]
MD5 checksum: d73a5f2f44125daaaf70a023c648b2ca