Abstract
Data annotation is a common way to improve the reliability of advanced dialog applications. Unfortunately, since those annotations are highly language-dependent, the universalization can become a very lenghty process. Even though some projection methods exist, most of them require a deeper level of annotation than the one used for advanced dialogs. In this paper, we present a consensus approach that exploits the specificities of a sparse annotation in order to do the data projection.
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Julien, S., Langlais, P., Tremblay, R. (2014). A Consensus Approach for Annotation Projection in an Advanced Dialog Context. In: Sokolova, M., van Beek, P. (eds) Advances in Artificial Intelligence. Canadian AI 2014. Lecture Notes in Computer Science(), vol 8436. Springer, Cham. https://doi.org/10.1007/978-3-319-06483-3_14
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DOI: https://doi.org/10.1007/978-3-319-06483-3_14
Publisher Name: Springer, Cham
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