In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Background: In the current era of scientific research, efficient communication of information is paramount. As such, the nature of scholarly and scientific communication is changi...
J. Lynn Fink, Pablo Fernicola, Rahul Chandran, Sav...
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Achieving a quality software system requires UML designers a good understanding of both design patterns and antipatterns. Unfortunately, UML models for real systems tend to be huge...