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Riad Sonbol
The Higher Institute for Applied Science and Technology
Computer Science & IT Electrical & Electronics Engineering

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Anaphora Resolution in Business Process Requirement Engineering Riad Sonbol; Ghaida Rebdawi; Nada Ghneim
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.365 KB) | DOI: 10.11591/ijece.v8i3.pp1766-1773

Abstract

Anaphora resolution (AR) is one of the most important tasks in natural language processing which focuses on the problem of resolving what a pronoun, or a noun phrase refers to. Moreover, AR plays an essential role when dealing with business process textual description, either when trying to discover the process model from the text, or when validating an existing model. It helps these systems in discovering the core components in any process model (actors and objects).In this paper, we propose a domain specific AR system. The approach starts by automatically generating the concept map of the text, then the system uses this map to resolve references using the syntactic and semantic relations in the concept map. The approach outperforms the state-of-the art performance in the domain of business process texts with more than 73% accuracy. In addition, this approach could be easily adopted to resolve references in other domains.
Co-Authors Ghaida Rebdawi Nada Ghneim