The success of a humour-generation program is usually assessed by having human judges rate texts. However, there has been little consideration of the patterns shown by such judgements, particularly in terms of consistency. We present two small studies which attempt to gauge the consistency of human judgements about humorous aspects of texts, and discuss some of the methodological issues involved.
|Title of host publication||Proceedings of the AISB 2008 Symposium on Affective Language in Human and Machine|
|Publisher||Society for the Study of Artificial Intelligence and Simulation of Behaviour|
|Publication status||Published - 2008|
- computational humour
- joke recognition
- consistency of judgements
- humour theory