Open architecture for natural language distributed systems
Current information retrieval systems focus on or are limited to the use of key words recognition rather than full Natural Language interface. This paper presents an open architecture for Natural Language interface to specific domain. We describe the requirements and the design objectives of a Natural Language interface to an object model that can retrieve answers from a knowledge base.
The novelty of the proposed work is that it is based on Computational Linguistic theory, namely, the Lexical-Functional Grammar theory. The linguistic presentation structures of this theory have been formulated into linguistic rules to enhance the understanding of user queries.
In addition, common-sense domain specific knowledge has been investigated and proved to be a suitable approach for eliminating some Natural Language ambiguities found within specific domain. The adoption of the developed prototype into an open architecture is also investigated. This should provide a framework for building similar applications within the chosen domain.
The framework has been tested using several newspaper stories to prove the accuracy of our approach.
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