Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lexical Disambiguation in Natural Language Questions (NLQs)   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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The categories of this paper are: funct-an
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The categories of this paper are: eess
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The categories of this paper are: chem-ph
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The categories of this paper are: stat
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The categories of this paper are: supr-con
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The categories of this paper are: cmp-lg
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The categories of this paper are: atom-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: quant-ph
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The categories of this paper are: solv-int
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The categories of this paper are: patt-sol
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The categories of this paper are: acc-phys
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The categories of this paper are: gr-qc
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ex
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The categories of this paper are: nlin