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Coreference Resolution on Blogs and Commented News

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Anaphora Processing and Applications (DAARC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5847))

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Abstract

We focus on automatic coreference resolution for blogs and news articles with user comments as part of a project on opinion mining. We aim to study the effect of the genre shift from edited, structured newspaper text to unedited, unstructured blog data. We compare our coreference resolution system on three data sets: newspaper articles, mixed newspaper articles and reader comments, and blog data. As can be expected the performance of the automatic coreference resolution system drops drastically when tested on unedited text. We describe the characteristics of the different data sets and we examine the typical errors made by the resolution system.

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Author information

Authors and Affiliations

  1. LT3 - Language and Translation Technology Team, University College Ghent, Groot-Brittanniëlaan 45, Ghent, Belgium

    Iris Hendrickx & Veronique Hoste

  2. Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281(S9), Ghent, Belgium

    Veronique Hoste

Authors
  1. Iris Hendrickx
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  2. Veronique Hoste
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Editor information

Editors and Affiliations

  1. AU-KBC Research Centre, MIT Campus of Anna University, Chromepet, Pin 600044, Chennai, India

    Sobha Lalitha Devi

  2. Faculdade de Ciências de Lisboa , , Departamento de Informática, Cidade Universitária, 1749-016, Lisboa, Portugal

    António Branco

  3. Chair of Computational Linguistics and Language Engineering, School of Humanities, Languages and Social Studies, University of Wolverhampton, WV1 1SB, Wolverhampton, United Kingdom

    Ruslan Mitkov

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© 2009 Springer-Verlag Berlin Heidelberg

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Hendrickx, I., Hoste, V. (2009). Coreference Resolution on Blogs and Commented News. In: Lalitha Devi, S., Branco, A., Mitkov, R. (eds) Anaphora Processing and Applications. DAARC 2009. Lecture Notes in Computer Science(), vol 5847. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04975-0_4

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  • DOI: https://doi.org/10.1007/978-3-642-04975-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04974-3

  • Online ISBN: 978-3-642-04975-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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