Semantic Business Process Management is a recent and promising research area devoted to extending the results from Semantic Web Services — i.e., the application of ontology-base...
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
This paper explores the design space of MMU caches that accelerate virtual-to-physical address translation in processor architectures, such as x86-64, that use a radix tree page t...
Treatment of Multiword Expressions (MWEs) is one of the most complicated issues in natural language processing, especially in Machine Translation (MT). The paper presents dictiona...
We propose a structure called dependency forest for statistical machine translation. A dependency forest compactly represents multiple dependency trees. We develop new algorithms ...
Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, ...