An Ontology-Based Dialogue Management System for Banking and Finance Dialogue Systems
Duygu Altinok

TL;DR
This paper presents OntoDM, an ontology-based dialogue management system designed for banking and finance chatbots, leveraging domain ontologies to improve conversation state tracking, anaphora resolution, and domain-specific dialogue control.
Contribution
The paper introduces a novel ontology-based dialogue management framework tailored for banking and finance, integrating linguistic methods with domain knowledge for improved dialogue coherence.
Findings
Implemented in German banking chatbots
Combines linguistic methods with domain ontologies
Addresses language processing challenges in finance domain
Abstract
Keeping the dialogue state in dialogue systems is a notoriously difficult task. We introduce an ontology-based dialogue manage(OntoDM), a dialogue manager that keeps the state of the conversation, provides a basis for anaphora resolution and drives the conversation via domain ontologies. The banking and finance area promises great potential for disambiguating the context via a rich set of products and specificity of proper nouns, named entities and verbs. We used ontologies both as a knowledge base and a basis for the dialogue manager; the knowledge base component and dialogue manager components coalesce in a sense. Domain knowledge is used to track Entities of Interest, i.e. nodes (classes) of the ontology which happen to be products and services. In this way we also introduced conversation memory and attention in a sense. We finely blended linguistic methods, domain-driven keyword…
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Speech and dialogue systems
