Year: 2012
Type: conference-paper
Abstract: This paper presents QurAna: a large corpus created from the original Quranic text, where personal pronouns are tagged with their antecedence.These antecedents are maintained as an ontological list of concepts, which has proved helpful for information retrieval tasks.QurAna is characterized by: (a) comparatively large number of pronouns tagged with antecedent information (over 24,500 pronouns), and (b) maintenance of an ontological concept list out of these antecedents.We have shown useful applications of this corpus.This corpus is the first of its kind covering Classical Arabic text, and could be used for interesting applications for Modern Standard Arabic as well.This corpus will enable researchers to obtain empirical patterns and rules to build new anaphora resolution approaches.Also, this corpus can be used to train, optimize and evaluate existing approaches.
Authors: Abdul-Baquee Sharaf, Eric Atwell
Institution: University of Leeds
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2252255212