Proceedings of the 3rd international conference on Knowledge capture
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Peekaboom: a game for locating objects in images
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Computer
The reliability of anaphoric annotation, reconsidered: taking ambiguity into account
CorpusAnno '05 Proceedings of the Workshop on Frontiers in Corpus Annotations II: Pie in the Sky
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Web-based annotation of anaphoric relations and lexical chains
LAW '07 Proceedings of the Linguistic Annotation Workshop
The first challenge on generating instructions in virtual environments
Empirical methods in natural language generation
Towards generating text from discourse representation structures
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
A platform for collaborative semantic annotation
EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special section on internet-scale human problem solving and regular papers
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Large-scale linguistically annotated resources have become available in recent years. This is partly due to sophisticated automatic and semiautomatic approaches that work well on specific tasks such as part-of-speech tagging. For more complex linguistic phenomena like anaphora resolution there are no tools that result in high-quality annotations without massive user intervention. Annotated corpora of the size needed for modern computational linguistics research cannot however be created by small groups of hand annotators. The ANAWIKI project strikes a balance between collecting high-quality annotations from experts and applying a game-like approach to collecting linguistic annotation from the general Web population. More generally, ANAWIKI is a project that explores to what extend expert annotations can be substituted by a critical mass of non-expert judgements.