Vagueness and referential ambiguity in a large-scale annotated corpus

  • In this paper, we argue that difficulties in the definition of coreference itself contribute to lower inter-annotator agreement in certain cases. Data from a large referentially annotated corpus serves to corroborate this point, using a quantitative investigation to assess which effects or problems are likely to be the most prominent. Several examples where such problems occur are discussed in more detail, and we then propose a generalisation of Poesio, Reyle and Stevenson’s Justified Sloppiness Hypothesis to provide a unified model for these cases of disagreement and argue that a deeper understanding of the phenomena involved allows to tackle problematic cases in a more principled fashion than would be possible using only pre-theoretic intuitions.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Yannick Versley
URN:urn:nbn:de:hebis:30-1128402
URL:http://www.versley.de/rolc-preprint.pdf
DOI:https://doi.org/10.1007/s11168-008-9059-1
ISSN:1572-8706
ISSN:1570-7075
Document Type:Preprint
Language:English
Year of Completion:2009
Year of first Publication:2009
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2009/05/05
Tag:Coreference annotation; Sloppiness; Vagueness
Page Number:24
First Page:1
Last Page:24
Note:
Erschienen in: Research on language and computation, 6.2008, Nr. 3–4, S. 333–353, doi:10.1007/s11168-008-9059-1
Source:http://www.versley.de/rolc-preprint.pdf ; (in:) Massimo Poesio / Ron Artstein : Ambiguity in Anaphora : Special Issue of the Journal on Research in Language and Computation
HeBIS-PPN:217391427
Institutes:keine Angabe Fachbereich / Extern
Dewey Decimal Classification:4 Sprache / 40 Sprache / 400 Sprache
Sammlungen:Linguistik
Linguistik-Klassifikation:Linguistik-Klassifikation: Computerlinguistik / Computational linguistics
Licence (German):License LogoDeutsches Urheberrecht