Hybrid Procedural Semantics for Visual Dialogue: An Interactive Web Demonstration

Research output: Chapter in Book/Report/Conference proceedingConference paper

1 Citation (Scopus)

Abstract

Visual dialogue refers to the task in which a conversational agent needs to hold a meaningful and coherent conversation with a human interlocutor about a scene they observe. To tackle this task, we introduce a novel methodology that makes use of (i) a novel data structure, called the conversation memory, which holds information that is incrementally conveyed in the conversation and (ii) a hybrid procedural semantic representation that is grounded in both the visual input and the conversation memory. In this paper, we present a demonstration that showcases this novel methodology. In this demonstration, a user can interact with a visual dialogue agent and discuss an image of their choice. While the agent is answering questions, the user can follow the agent’s reasoning process. Due to its explainable and interpretable nature, the novel methodology can be used in a wide range of application domains, especially when it is important that the system is human-interpretable. We believe that this novel methodology of hybrid procedural semantics combined with a conversation memory paves the way for building truly intelligent and explainable systems that are able to hold human-like conversations.

Original languageEnglish
Title of host publicationProceedings of the Workshop on Semantic Techniques for Narrative-Based Understanding
Pages48-52
Number of pages5
Volume3322
Publication statusPublished - 2022
EventWorkshop on semantic techniques for narrative-based understanding - IJCAI-ECAI 2022 - Vienna, Austria
Duration: 24 Jul 2022 → …

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073

Workshop

WorkshopWorkshop on semantic techniques for narrative-based understanding - IJCAI-ECAI 2022
Country/TerritoryAustria
CityVienna
Period24/07/22 → …

Bibliographical note

Publisher Copyright:
© 2022 Copyright for this paper by its authors.

Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.

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