Entities -- people, organizations, locations and the like -- have long been a central focus of natural language processing technology development, since entities convey essential ...
Galois field implementations are central to the design of many reliable and secure systems, with many systems implementing them in software. The two most common Galois field opera...
Kevin M. Greenan, Ethan L. Miller, Thomas J. E. Sc...
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
A number of real-world domains such as social networks and e-commerce involve heterogeneous data that describes relations between multiple classes of entities. Understanding the n...
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...