no code implementations • 16 Jan 2013 • Hinrich Schuetze, Christian Scheible
A key characteristic of work on deep learning and neural networks in general is that it relies on representations of the input that support generalization, robust inference, domain adaptation and other desirable functionalities.
no code implementations • 13 Jan 2013 • Christian Scheible, Hinrich Schuetze
This makes the analysis of learned structures particularly difficult.
no code implementations • LREC 2012 • Christian Scheible, Hinrich Sch{\"u}tze
We present a novel graph-theoretic method for the initial annotation of high-confidence training data for bootstrapping sentiment classifiers.