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Corpus ID: 6228367

Spectral Learning with Type-2 Fuzzy Numbers for Question/Answering System

@inproceedings{elikyilmaz2009SpectralLW,
title={Spectral Learning with Type-2 Fuzzy Numbers for Question/Answering System},
author={A. Çelikyilmaz and I. T{\"u}rksen},
booktitle={IFSA/EUSFLAT Conf.},
year={2009}
}

Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. They rely on graphs that jointly represent each data point. The problem of how to best formulate the graph representation remains an open research topic. In this paper, we introduce a type-2 fuzzy arithmetic to characterize the edge weights of a formed graph as type-2 fuzzy numbers. The fuzzy numbers are identified by the changing parameters of the… Expand

International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)