Centering theory in natural text: a large-scale corpus study

  • We present an extensive corpus study of Centering Theory (CT), examining how adequately CT models coherence in a large body of natural text. A novel analysis of transition bigrams provides strong empirical support for several CT-related linguistic claims which so far have been investigated only on various small data sets. The study also reveals genre-based differences in texts’ degrees of entity coherence. Previous work has shown unsupervised CTbased coherence metrics to be unable to outperform a simple baseline. We identify two reasons: 1) these metrics assume that some transition types are more coherent and that they occur more frequently than others, but in our corpus the latter is not the case; and 2) the original sentence order of a document and a random permutation of its sentences differ mostly in the fraction of entity-sharing sentence pairs, exactly the factor measured by the baseline.

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Metadaten
Author:Annemarie FriedrichORCiDGND, Alexis Palmer
URN:urn:nbn:de:bvb:384-opus4-1056989
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/105698
URL:https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-2893
ISBN:978-3-934105-46-1OPAC
Parent Title (English):Proceedings of the 12th edition of the KONVENS conference, October 8–10, 2014, Hildesheim, Germany
Publisher:Universitätsverlag Hildesheim
Place of publication:Hildesheim
Editor:Josef Ruppenhofer, Gertrud Faaß
Type:Conference Proceeding
Language:English
Year of first Publication:2014
Publishing Institution:Universität Augsburg
Release Date:2023/07/10
First Page:137
Last Page:144
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Sprachverstehen mit der Anwendung Digital Humanities
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 3.0: Creative Commons - Namensnennung (mit Print on Demand)

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