Lexical Disambiguation in Natural Language Questions (NLQs)
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.
Keywords
Cite
@article{arxiv.1709.09250,
title = {Lexical Disambiguation in Natural Language Questions (NLQs)},
author = {Omar Al-Harbi and Shaidah Jusoh and Norita Md Norwawi},
journal= {arXiv preprint arXiv:1709.09250},
year = {2017}
}
Comments
8 pages, 4 figures