This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
In this paper, we present a parser based on a stochastic structured language model (SLM) with a
exible history reference mechanism. An SLM is an alternative to an n-gram model as...
The amount of user generated content on the Web is growing and identifying high quality content in a timely manner has become a problem. Many forums rely on its users to manually r...
Kevin Chai, Chen Wu, Vidyasagar Potdar, Pedram Hay...
Dependency parsers show syntactic relations between words using a directed graph, but comparing dependency parsers is difficult because of differences in theoretical models. We de...
System-on-Chip (SOC) and other complex distributed hardware/software systems contain heterogeneous components such as DSPs, micro-controllers, application specific logic etc., whi...
Deepak Mathaikutty, Hiren D. Patel, Sandeep K. Shu...