An Architecture of an Answer Search System

Abstract

All kinds of organizations store large amounts of unstructured information. Thus text mining keeps growing in importance, and in particular ever greater attention is being given to the kind of systems who answer user questions in natural language, namely question answering systems. This paper describes the architecture of a one such system that finds answers to user questions in a corpus of more than eight thousand documents corresponding to university academic and administrative resolutions.