Schiffman Barry author Columbia University. Computer Science Columbia University. Computer Science originator contributor text Technical reports New York Department of Computer Science, Columbia University 2007 This paper presents a new framework for the unsupervised discovery of semantic information, using a divide-and-conquer approach to take advantage of contextual regularities and to avoid problems of polysemy and sublanguages. Multiple sets of documents are formed and analyzed to create multiple sets of frames. The overall procedure is wholly unsupervised and domain independent. The end result will be a collection of sets of semantic frames that will be useful in a wide range of applications, including question-answering, information extraction, summarization and text generation. Computer science CUCS-039-07 http://hdl.handle.net/10022/AC:P:29530 English NNC NNC 2011-04-27 10:26:37 -0400 2012-04-06 11:55:29 -0400 4018 eng