Markup Infrastructure for the Anaphoric Bank, Part I: Supporting Web Collaboration
Poesio M, Diewald N, Stührenberg M, Chamberlain J, Jettka D, Goecke D, Kruschwitz U (2011)
In: Modeling, Learning and Processing of Text Technological Data Structures. Mehler A, Kühnberger K-U, Lobin H, Lüngen H, Storrer A, Witt A (Eds); Studies in Computational Intelligence, 370. Berlin ; Heidelberg: Springer: 175-195.
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Autor*in
Poesio, Massimo;
Diewald, NilsUniBi;
Stührenberg, MaikUniBi 
;
Chamberlain, Jon;
Jettka, DanielUniBi;
Goecke, Daniela;
Kruschwitz, Udo
;
Chamberlain, Jon;
Jettka, DanielUniBi;
Goecke, Daniela;
Kruschwitz, UdoHerausgeber*in
Mehler, Alexander;
Kühnberger, Kai-Uwe;
Lobin, Henning;
Lüngen, Harald;
Storrer, Angelika;
Witt, Andreas
Einrichtung
Abstract / Bemerkung
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.
Erscheinungsjahr
2011
Buchtitel
Modeling, Learning and Processing of Text Technological Data Structures
Serientitel
Studies in Computational Intelligence
Band
370
Seite(n)
175-195
ISBN
978-3-642-22612-0
Page URI
https://pub.uni-bielefeld.de/record/2941392
Zitieren
Poesio M, Diewald N, Stührenberg M, et al. Markup Infrastructure for the Anaphoric Bank, Part I: Supporting Web Collaboration. In: Mehler A, Kühnberger K-U, Lobin H, Lüngen H, Storrer A, Witt A, eds. Modeling, Learning and Processing of Text Technological Data Structures. Studies in Computational Intelligence. Vol 370. Berlin ; Heidelberg: Springer; 2011: 175-195.
Poesio, M., Diewald, N., Stührenberg, M., Chamberlain, J., Jettka, D., Goecke, D., & Kruschwitz, U. (2011). Markup Infrastructure for the Anaphoric Bank, Part I: Supporting Web Collaboration. In A. Mehler, K. - U. Kühnberger, H. Lobin, H. Lüngen, A. Storrer, & A. Witt (Eds.), Studies in Computational Intelligence: Vol. 370. Modeling, Learning and Processing of Text Technological Data Structures (pp. 175-195). Berlin ; Heidelberg: Springer. https://doi.org/10.1007/978-3-642-22613-7_10
Poesio, Massimo, Diewald, Nils, Stührenberg, Maik, Chamberlain, Jon, Jettka, Daniel, Goecke, Daniela, and Kruschwitz, Udo. 2011. “Markup Infrastructure for the Anaphoric Bank, Part I: Supporting Web Collaboration”. In Modeling, Learning and Processing of Text Technological Data Structures, ed. Alexander Mehler, Kai-Uwe Kühnberger, Henning Lobin, Harald Lüngen, Angelika Storrer, and Andreas Witt, 370:175-195. Studies in Computational Intelligence. Berlin ; Heidelberg: Springer.
Poesio, M., Diewald, N., Stührenberg, M., Chamberlain, J., Jettka, D., Goecke, D., and Kruschwitz, U. (2011). “Markup Infrastructure for the Anaphoric Bank, Part I: Supporting Web Collaboration” in Modeling, Learning and Processing of Text Technological Data Structures, Mehler, A., Kühnberger, K. - U., Lobin, H., Lüngen, H., Storrer, A., and Witt, A. eds. Studies in Computational Intelligence, vol. 370, (Berlin ; Heidelberg: Springer), 175-195.
Poesio, M., et al., 2011. Markup Infrastructure for the Anaphoric Bank, Part I: Supporting Web Collaboration. In A. Mehler, et al., eds. Modeling, Learning and Processing of Text Technological Data Structures. Studies in Computational Intelligence. no.370 Berlin ; Heidelberg: Springer, pp. 175-195.
M. Poesio, et al., “Markup Infrastructure for the Anaphoric Bank, Part I: Supporting Web Collaboration”, Modeling, Learning and Processing of Text Technological Data Structures, A. Mehler, et al., eds., Studies in Computational Intelligence, vol. 370, Berlin ; Heidelberg: Springer, 2011, pp.175-195.
Poesio, M., Diewald, N., Stührenberg, M., Chamberlain, J., Jettka, D., Goecke, D., Kruschwitz, U.: Markup Infrastructure for the Anaphoric Bank, Part I: Supporting Web Collaboration. In: Mehler, A., Kühnberger, K.-U., Lobin, H., Lüngen, H., Storrer, A., and Witt, A. (eds.) Modeling, Learning and Processing of Text Technological Data Structures. Studies in Computational Intelligence. 370, p. 175-195. Springer, Berlin ; Heidelberg (2011).
Poesio, Massimo, Diewald, Nils, Stührenberg, Maik, Chamberlain, Jon, Jettka, Daniel, Goecke, Daniela, and Kruschwitz, Udo. “Markup Infrastructure for the Anaphoric Bank, Part I: Supporting Web Collaboration”. Modeling, Learning and Processing of Text Technological Data Structures. Ed. Alexander Mehler, Kai-Uwe Kühnberger, Henning Lobin, Harald Lüngen, Angelika Storrer, and Andreas Witt. Berlin ; Heidelberg: Springer, 2011.Vol. 370. Studies in Computational Intelligence. 175-195.
Material in PUB:
Teil von PUB Eintrag
Modeling, learning, and processing of text-technological data structures
Mehler A, Kühnberger K-U, Lobin H, Lüngen H, Storrer A, Witt A (Eds) (2011) Studies in computational intelligence; 370.
Berlin: Springer.
Mehler A, Kühnberger K-U, Lobin H, Lüngen H, Storrer A, Witt A (Eds) (2011) Studies in computational intelligence; 370.
Berlin: Springer.
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