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.

Markup infrastructure for the Anaphoric Bank, part I: Supporting web collaboration

Poesio, Massimo;
2011-01-01

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.
2011
Modelling, Learning and Processing of Text Technological Data Structures
Berlin
Springer Verlag
9783642226120
Poesio, Massimo; N., Diewald; M., Stuehrenberg; J., Chamberlain; D., Jettka; D., Goecke; U., Kruschwitz
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/89860
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