Information retrieval needs to match relevant texts with a given query. Selecting appropriate parts is useful when documents are long, and only portions are interesting to the user...
Abstract. This text is an informal review of several randomized algorithms that have appeared over the past two decades and have proved instrumental in extracting efficiently quant...
The ASKNet system is an attempt to automatically generate large scale semantic knowledge networks from natural language text. State-of-the-art language processing tools, including...
The ASKNet project uses a combination of NLP tools and spreading activation to transform natural language text into semantic knowledge networks. Network fragments are generated fr...
Title of Dissertation: INTERACTIVE GRAPHICAL QUERYING OF TIME SERIES AND LINEAR SEQUENCE DATA SETS Harry Hochheiser, Doctor of Philosophy, 2003 Dissertation directed by: Professor...