International Journal of Intelligent Systems and Applications(IJISA)

ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)

Published By: MECS Press

IJISA Vol.7, No.2, Jan. 2015

Hybrid Approach to Pronominal Anaphora Resolution in English Newspaper Text

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Kalyani P. Kamune, Avinash Agrawal

Index Terms

Natural Language processing, Anaphora resolution, Discourse, Pronominal Resolution, Co-reference, Discourse Modeling, Artificial Intelligence


One of the challenges in natural language understanding is to determine which entities to be referred in the discourse and how they relate to each other. Anaphora resolution needs to be addressed in almost every application dealing with natural language such as language understanding and processing, dialogue system, system for machine translation, discourse modeling, information extraction. This paper represents a system that uses the combination of constraint-based and preferences-based architectures; each uses a different source of knowledge and proves effective on computational and theoretical basis, instead of using a monolithic architecture for anaphora resolution. This system identifies both inter-sentential and intra-sentential antecedents of “Third person pronoun anaphors” and “Pleonastic it”. This system uses Charniak Parser (parser05Aug16) as an associated tool, and it relays on the output generated by it. Salience measures derived from parse tree are used in order to find out accurate antecedents from the list of all potential antecedents. We have tested the system extensively on 'Reuters Newspaper corpus' and efficiency of the system is found to be 81.9%.

Cite This Paper

Kalyani P. Kamune, Avinash Agrawal,"Hybrid Approach to Pronominal Anaphora Resolution in English Newspaper Text", International Journal of Intelligent Systems and Applications(IJISA), vol.7, no.2, pp.56-64, 2015. DOI: 10.5815/ijisa.2015.02.08


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