This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
We propose two hashing-based solutions to the problem of fast and effective personal names spelling correction in People Search applications. The key idea behind our methods is to...
We present a novel approach for (written) dialect identification based on the discriminative potential of entire words. We generate Swiss German dialect words from a Standard Germ...
Inducing a grammar directly from text is one of the oldest and most challenging tasks in Computational Linguistics. Significant progress has been made for inducing dependency gram...
This paper discusses the basic structures necessary for the generation of reference to objects in a visual scene. We construct a study designed to elicit naturalistic referring ex...