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Crowdsourcing and Aggregating Nested Markable Annotations ...
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A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
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A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
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Exploring Language Style in Chatbots to Increase Perceived Product Value and User Engagement
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A Probabilistic Annotation Model for Crowdsourcing Coreference
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Markup Infrastructure for the Anaphoric Bank: Supporting Web Collaboration
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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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Keyword:
020 Bibliotheks- und Informationswissenschaft; ddc:020
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URL: https://epub.uni-regensburg.de/40373/ https://doi.org/10.1007/978-3-642-22613-7_10
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