This work is a step towards full automation of auto-mentoring processes in multi-player online environments such as virtual internships. We focus on automatically identifying speaker's intentions, i.e. the speech acts of chat utterances, in such virtual internships. Particularly, we explore several machine learning methods to categorize speech…

In this paper we address the important task of automated discovery of speech act categories in dialogue-based, multi-party educational games. Speech acts are important in dialogue-based educational systems because they help infer the student speaker's intentions (the task of speech act classification) which in turn is crucial to providing adequate…

Presents a taxonomy of jokes and wit as a useful, descriptive tool. Argues that humor processing may occur in a parallel rather than serial fashion by contrasting a serial-processing, incongruity-resolution model with an alternative dual-processing model. Also presents a taxonomy of the social functions of wit. (JK)