This paper presents a framework for automatically generating structural XML documents. The user provides a target DTD and an example of an XML document, called a Generate-XML-ByEx...
We present a simple, robust generation system which performs content selection and surface realization in a unified, domain-independent framework. In our approach, we break up the...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
: In this article, a security extension for the HiiMap Next Generation Internet Architecture is presented. We regard a public key infrastructure which is integrated into the mappin...
Oliver Hanka, Michael Eichhorn, Martin Pfannenstei...
In this paper a exible, high-throughput, low-complexity additive white gaussian noise (AWGN) channel generator is presented. The proposed generator employs a Mersenne-Twister to g...