Online Reasoning for Semantic Error Detection in Text

Volume: 6, Issue: 3, Pages: 139 - 153
Published: Jul 5, 2017
Abstract
Identifying incorrect content (i.e., semantic error) in text is a difficult task because of the ambiguous nature of written natural language and the many factors that can make a statement semantically erroneous. Current methods identify semantic errors in a sentence by determining whether it contradicts the domain to which the sentence belongs. However, because these methods are constructed on expected logic contradictions, they cannot handle...
Paper Details
Title
Online Reasoning for Semantic Error Detection in Text
Published Date
Jul 5, 2017
Volume
6
Issue
3
Pages
139 - 153
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.