Title :
The model for representation of cause-and-effect relations in the natural language
Abstract :
[Summary form only given] In the paper the methods of natural language processing are described. The model for representation of cause-and-effect relations in Russian text is offered. Such relations can be used as expert statements in the algorithm of extremal situations forecasting.
Keywords :
natural language processing; text analysis; Russian text; cause-and-effect relations; natural language processing; Equations; Least squares methods; Natural languages; Parameter estimation; Power system modeling; Predictive models; Probability distribution; Random variables; Robustness; System testing;
Conference_Titel :
Electronic Instrument Engineering, 2008. APEIE 2008. 9th International Conference on Actual Problems of
Conference_Location :
Novosibirsk
Print_ISBN :
978-1-4244-2825-0
DOI :
10.1109/APEIE.2008.4897178
