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Question processing is a fundamental step in a question answering (QA)application, and its quality impacts the performance of QA application. Themajor challenging issue in processing question is how to extract semantic ofnatural language questions (NLQs). A human language is ambiguous. Ambiguity mayoccur at two levels; lexical and syntactic. In this paper, we propose a newapproach for resolving lexical ambiguity problem by integrating contextknowledge and concepts knowledge of a domain, into shallow natural languageprocessing (SNLP) techniques. Concepts knowledge is modeled using ontology,while context knowledge is obtained from WordNet, and it is determined based onneighborhood words in a question. The approach will be applied to a universityQA system.

Lexical Disambiguation in Natural Language Questions (NLQs)