Thesis Project Description:
Task oriented dialogues are a crucial activity in human kind sociality and both in the developing of human language technologies. The aim of the project is to understand how inter-individual relationships are established and how they evolve during conversations in task oriented dialogues, exploiting the roles of the speakers and their dynamic. The approach is to use both a linguistics analysis and big Data methods to identify linguistics traces of interpersonal relationships exploring large conversational datasets of transcripts and vocal dialogues in English, French and Mandarin.
Interdisciplinary Research Axis:
Master in Physics, Federico II University, Naples, Italy