Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human...
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
This paper presents the integration of cohesive properties of text with coherence relations, to obtain an adequate representation of text for automatic summarization. A summarizer...
In this paper, we present a scheme for minimizing packet loss in OSPF networks by optimizing link weights using Online Simulation. We have chosen packet loss rate in the network a...
Hema Tahilramani Kaur, Tao Ye, Shivkumar Kalyanara...