HNC is developing a neural network related approach to document retrieval called <i>MatchPlus</i>. Goals of this approach include high precision/recall performance, ease of use, incorporation of machine learning algorithms, and <i>sensitivity to similarity of use</i>.
Overview: During Phase I of the TIPSTER program, HNC developed a unique approach to machine learning of similarity of meaning. This approach, embodied in a system called "MatchPlus", exploits this learned similarity of meaning for concept-based text retrieval, routing and visualization of textual information. MatchPlus uses an information representation… (More)