2010 | OriginalPaper | Chapter
Neural Networks Based Detection of Purpose Data in Text
Authors : P. Kiran Mayee, Rajeev Sangal, Soma Paul
Published in: Information and Communication Technologies
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Purpose is an inherent relation in artifact-related text. This information is available as a pair of components, called ‘purpose-action’ and ‘purpose-upon’ in text. This paper presents the Neural Networks as a possible solution to detecting the existence of ‘purpose_action’ in corpus. Two types of Neural Networks, i.e., RBF Networks and Multilayer Perceptron Neural Network have been tried and compared with a Naïve Bayes approach to detection. The corresponding results have been tabulated. The MLP method is found to be more efficient among the two.