If we wish to implement dialogue systems which express emotion, dialogue corpora annotated for emotion would be a valuable resource. In order to develop such corpora we require a reliable annotation scheme. Here we describe an annotation scheme for emotion in dialogue using categorical labels to complement previous work using dimensional scales. The most difficult challenge in developing such a scheme is selecting the categories of emotions that will yield the most expressive yet reliable scheme. We apply a novel approach, using a genetic algorithm to identify the appropriate categories.
CITATION STYLE
Craggs, R., & Wood, M. M. G. (2004). A categorical annotation scheme for emotion in the linguistic content of dialogue. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3068, pp. 89–100). Springer Verlag. https://doi.org/10.1007/978-3-540-24842-2_9
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