In the last decade, conversational agents have been developed and adopted in several
application domains, including education, healthcare, finance, and tourism. Nevertheless …

It is important for chat-oriented dialogue systems to be able to understand the various
information from user utterances. However, no study has yet clarified the types of information …

Purpose The purpose of this paper is to understand blog users' negative emotional norm
compliance decision-making in crises (blog users'-NNDC). Design/methodology/approach A …

Robotics in education is a promising new area: social robots have started to move into
schools as part of educational/learning technologies, playing roles in educational settings …

Nous abordons dans cette thèse un problème important en simulation multi-agent pour
l'étude des systèmes complexes: celui d'assembler de multiples expertises par une …

In this paper, we present E-VOX, an emotionally enhanced semantic ECA designed to work
as a virtual assistant to search information from Wikipedia. It includes a cognitive-affective …

We have explored how a conversational agent can introduce a selected topic in an ongoing
non-task oriented interaction with a user, where the selected topic has little to do with the …

In this paper, we present a novel approach to natural language understanding that utilizes
context-free grammars (CFGs) in conjunction with sequence-to-sequence (seq2seq) deep …

Abstract We propose SUPPLE (Sequence-Update Pattern-Based Processing with Logical
Expansions), a new dialog management framework that takes the core concept of a dialog …

A conversational agent for entertainment and engagement requires the ability to maintain
coherent conversations. We describe the use of semantic relatedness to select the next …