Open AccessCommon Ground, Frames and Slots for Comprehension in Dialogue Systems
Author(s) -
Philippe Blache,
Matthis Houlès
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.112003
Subject(s) - computer science , common ground , conversation , context (archaeology) , comprehension , natural language , natural language processing , originality , representation (politics) , knowledge representation and reasoning , natural (archaeology) , artificial intelligence , frame (networking) , natural language understanding , linguistics , human–computer interaction , programming language , sociology , communication , social science , philosophy , law , history , archaeology , biology , qualitative research , paleontology , telecommunications , political science , politics
This paper presents a dialogue system for training doctors to break bad news. The originality of this work lies in its knowledge representation. All information known before the dialogue (the universe of discourse, the context, the scenario of the dialogue) as well as the knowledge transferred from the doctor to the patient during the conversation is represented in a shared knowledge structure called common ground, that constitute the core of the system. The Natural Language Understanding and the Natural Language Generation modules of the system take advantage on this structure and we present in this paper different original techniques making it possible to implement them efficiently.