Identification of Discourse Boundaries Using Anaphorically Annotated Text

Muhammad Aatif; Muhammad Abid Khan

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Identification of Discourse Boundaries Using Anaphorically Annotated Text

Author(s)

Muhammad Aatif Department of Computer Science, University of Peshawar, Peshawar

Muhammad Abid Khan Department of Computer Science, University of Peshawar, Peshawar

Abstract

For effective and efficient natural language processing (NLP) systems, it is of great significance that a discourse unit must be made a unit of processing. The major obstacle to achieving that goal is the identification of discourse boundaries (DBs). This paper presents an algorithm about the identification of DBs in English text using anaphorically annotated text. The proposed algorithm is based on the structure of anaphoric annotations carried out in Phrase Detectives Corpus 2.1.4 (PD2). It has been tested on anaphorically annotated documents selected at random from PD2 and showed an accuracy of 97.66%.

Publication Details

Page(s) 47-53

DOI DOI not available

Published Journal: Journal of Information Communication Technologies and Robotic Applications, Volume: 11, Issue: 1, Year: 2020

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Keywords

Algorithm, Discourse, Discourse unit, Discourse Boundaries Identification, Discourse Analysis, Boundaries identification, Discourse Boundaries, Anaphorically Annotated corpus

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