We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
Abstract. This paper describes an example-based machine translation (EBMT) method based on tree-string correspondence (TSC) and statistical generation. In this method, the translat...
We show that a simple procedure based on maximizing the number of informative content-words can produce some of the best reported results for multi-document summarization. We fir...
This work incorporates Selectional Preferences (SP) into a Semantic Role (SR) Classification system. We learn separate selectional preferences for noun phrases and prepositional p...
This paper presents a method for tuning parameters under a fixed time constraint for a general binocular stereo-vision algorithm. A major difficulty in stereo vision, as well as i...