This paper presents an unsupervised relation extraction method for discovering and enhancing relations in which a specified concept in Wikipedia participates. Using respective cha...
We consider the problem of learning context-dependent mappings from sentences to logical form. The training examples are sequences of sentences annotated with lambda-calculus mean...
Unknown lexical items present a major obstacle to the development of broadcoverage semantic role labeling systems. We address this problem with a semisupervised learning approach ...
Abstract. This paper details a collaboration between Aalborg University and NOVO Nordisk in developing an automatic model-based test generation tool for system testing of the graph...
Ulrik H. Hjort, Jacob Illum Rasmussen, Kim Guldstr...
This paper proposes a new approach for depth image-based rendering (DIBR) with low resolution depth using the 3D propagation algorithm. Our novel depth edge enhancement method ef ...