We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, ...
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
— Pulsed neurons are suitable for processing time series data, like sound signals, and can be easy implemented in hardware. In this paper, we propose an aural information process...
OLAP systems support data analysis through a multidimensional data model, according to which data facts are viewed as points in a space of application-related dimensions", or...
Carlos A. Hurtado, Alberto O. Mendelzon, Alejandro...
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...