In order to extensively explore design space one has to specify a n a very abstract level. Transforming a specification into a correct implementation is usually an error prone tas...
We created a simple gold standard for English-Hungarian NP-level alignment, Orwell's 1984 by manually verifying the automatically generated NP chunking and manually aligning ...
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
We describe the establishment of a compound object model for object recognition purposes which provides the frame for the extraction of object structure from images degraded by no...