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Markup Infrastructure for the Anaphoric Bank: Supporting Web Collaboration

  • Chapter
Modeling, Learning, and Processing of Text Technological Data Structures

Part of the book series: Studies in Computational Intelligence ((SCI,volume 370))

Abstract

Modern NLP systems rely either on unsupervised methods, or on data created as part of governmental initiatives such as MUC, ACE, or GALE. The data created in these efforts tend to be annotated according to task-specific schemes. The Anaphoric Bank is an attempt to create large quantities of data annotated with anaphoric information according to a general purpose and linguistically motivated scheme. We do this by pooling smaller amounts of data annotated according to rich schemes that are by and large compatible, and by taking advantage of Web collaboration. In this chapter we discuss the markup infrastructure that underpins the two modalities of Web collaboration in the project: expert annotation and game-based annotation.

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Author information

Authors and Affiliations

  1. School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, United Kingdom

    Massimo Poesio, Jon Chamberlain & Udo Kruschwitz

  2. Faculty of Linguistics and Literary Studies, Bielefeld University, Universitätsstraße 25, D-33615, Bielefeld, Germany

    Nils Diewald, Maik Stührenberg, Daniel Jettka & Daniela Goecke

Authors
  1. Massimo Poesio
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  2. Nils Diewald
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  3. Maik Stührenberg
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  4. Jon Chamberlain
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  5. Daniel Jettka
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  6. Daniela Goecke
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  7. Udo Kruschwitz
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Editor information

Editors and Affiliations

  1. Faculty of Linguistics and Literature, Bielefeld University, Universitätsstraße 25, 33615, Bielefeld, Germany

    Alexander Mehler

  2. Institute of Cognitive Science, University of Osnabrück, Albrechtstr. 28, 49076, Osnabrück, Germany

    Kai-Uwe Kühnberger

  3. Angewandte Sprachwissenschaft und, Justus-Liebig-Universität Gießen, Computerlinguistik, Otto-Behaghel-Straße 10D, 35394, Gießen, Germany

    Henning Lobin  & Harald Lüngen  & 

  4. Institut für deutsche Sprache und Literatur, Technical University Dortmund, Emil-Figge-Straße 50, 44227, Dortmund, Germany

    Angelika Storrer

  5. SFB 441 Linguistic Data Structures, Eberhard Karls Universität Tübingen, Nauklerstraße 35, 72074, Tübingen, Germany

    Andreas Witt

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Poesio, M. et al. (2011). Markup Infrastructure for the Anaphoric Bank: Supporting Web Collaboration. In: Mehler, A., Kühnberger, KU., Lobin, H., Lüngen, H., Storrer, A., Witt, A. (eds) Modeling, Learning, and Processing of Text Technological Data Structures. Studies in Computational Intelligence, vol 370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22613-7_10

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  • DOI: https://doi.org/10.1007/978-3-642-22613-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22612-0

  • Online ISBN: 978-3-642-22613-7

  • eBook Packages: EngineeringEngineering (R0)

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