This paper presents experiments which combine a grammar-driven and a datadriven parser. We show how the conversion of LFG output to dependency representation allows for a techniqu...
The result of a scene manipulation is usually displayed by rerendering the entire image even if the change has affected only a small portion of it. This paper presents a system th...
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
This paper1 presents a rapid and robust parsing system currently used to learn from large bodies of unedited text. The system contains a multivalued part-of-speech disambiguator a...