Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
In this paper, we propose an approach for identifying curatable articles from a large document set. This system considers three parts of an article (title ract, MeSH terms, and ca...
We describe a methodology for rapid experimentation in statistical machine translation which we use to add a large number of features to a baseline system exploiting features from...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur,...
The importance of temporal representation and reasoning is well known to the database community. Examples of such significance are the languages TSQL2 and its follow up, SQL/Tempo...
This paper investigates an attempt to combine different simulation tools in order to build a simulation environment that can be used to model complex system behaviour. The compone...