Analysis of spoken language data in a job interview setting with PREP annotations.

Abstract

We are developing a novel system for evaluating and providing feedback on job interview responses. In order for the system to give better feedback, it is crucial to capture the discourse structure of interview responses. Towards creating a corpus of job interviews annotated with discourse structure, we explore the PREP method, which is widely recognized as an effective discourse structure for achieving high scores in job interviews. We conduct trial annotation on 220 job interview responses and discuss the challenges and limitations of the PREP-based annotation scheme. Finally, we investigate the relationship between the PREP structure and the interviewer's evaluation by analyzing annotated interviews.