We consider the problem of extracting specified types of information from natural language text. To properly analyze the text, we wish to apply semantic (selectional) constraints ...
This paper addresses the task of handling unknown terms in SMT. We propose using source-language monolingual models and resources to paraphrase the source text prior to translatio...
We present an information extraction system for automated information extraction from free text. The system, XAR, available open-source to the community, s an extraction applicati...
Many document images are rich in color and have complex background. To detect text from them, a standard approach utilizes both color and binary information. This often leads to t...
Many applications require analyzing vast amounts of textual data, but the size and inherent noise of such data can make processing very challenging. One approach to these issues i...
David G. Underhill, Luke McDowell, David J. Marche...