Information retrieval system using UNL for multilingual question answering

Abstract

The key for enabling smooth information sharing across channels is the efficient storage of the information in a language independent format so that it can be retrieved across many geographies without having multiple corpus. This paper explains how this complex requirement can be solved by using UNL. In the paper the architecture and implementation of the UNL interlingua based question answering system is given that is capable enough to handle user queries against a language-independent representation of document. Currently the system solves factoid based questions as where, what, why, which etc using english as source language but later can be extended to other languages once their enconvertors and deconvertors are available. The proposed model is tested on ELOSS documents achieving an accuracy of 82.22%.