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arXiv · 1709.09250

Lexical Disambiguation in Natural Language Questions (NLQs)

Omar Al-Harbi·Shaidah Jusoh·Norita Md Norwawi
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Abstract

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

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Omar Al-Harbi, Shaidah Jusoh, Norita Md Norwawi. 2017-09-26. Lexical Disambiguation in Natural Language Questions (NLQs). https://arxiv.org/abs/1709.09250

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