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Markup Infrastructure for the Anaphoric Bank: Supporting Web Collaboration

Poesio, Massimo, Diewald, N., Stührenberg, M., Chamberlain, Jon, Jettka, D., Goecke, D. and Kruschwitz, Udo (2011) Markup Infrastructure for the Anaphoric Bank: Supporting Web Collaboration. In: Mehler, Alexander, (ed.) Modeling, Learning, and Processing of Text Technological Data Structures. Studies in Computational Intelligence (SCI), 370. Springer, Berlin, pp. 175-195. ISBN 978-3-642-22612-0, 978-3-642-22613-7.

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Other URL: https://doi.org/10.1007/978-3-642-22613-7_10


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 ...


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Item type:Book section
Institutions:Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft
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Keywords:Computational Linguistics, Annotate Corpus, Annotation Level, Anaphora Resolution, Segment Element
Dewey Decimal Classification:000 Computer science, information & general works > 020 Library & information sciences
Created at the University of Regensburg:Unknown
Item ID:40373
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