A Corpus of Simulated Counselling Sessions with Dialog Act Annotation

Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC 2022)

Abstract

We present a corpus of simulated counselling sessions consisting of speech- and text-based dialogs in Cantonese. Consisting of 152K Chinese characters, the corpus labels the dialog act of both client and counsellor utterances, segments each dialog into stages, and identifies the forward and backward links in the dialog. We analyze the distribution of client and counsellor communicative intentions in the various stages, and discuss significant patterns of the dialog flow.