期刊名称：International Journal of Computer Science & Applications
印刷版ISSN：0972-9038
出版年度：2008
卷号：V
期号：III
出版社：Technomathematics Research Foundation
摘要：This paper deals with a natural language interface, which accepts natural language questions as inputs and generates textual responses. In natural language processing, Key-word matching based paradigm generate answers, however these answers frequently affected by certain language dependant phenomena such as semantic symmetry and ambiguous modification. Available techniques, described in the literature, deal with these problems using in depth parsing. In this paper, we will present rules to tackle linguistic phenomena using shallow parsing and discuss advantages of a novel Natural Language Interface comprising of shallow parsing based algorithms in conjunction with some intelligent techniques to train the system. Experimental results show that this approach can analyze a wide range of questions with high accuracy and produce reasonable textual responses.
