{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-ontology-based-dialogue-management-system","title":"An Ontology-Based Dialogue Management System for Banking and Finance Dialogue Systems","arxiv_id":"1804.04838","date":"2018-04-13","proceeding":null,"authors":["Duygu Altinok"],"abstract":"Keeping the dialogue state in dialogue systems is a notoriously difficult\ntask. We introduce an ontology-based dialogue manage(OntoDM), a dialogue\nmanager that keeps the state of the conversation, provides a basis for anaphora\nresolution and drives the conversation via domain ontologies. The banking and\nfinance area promises great potential for disambiguating the context via a rich\nset of products and specificity of proper nouns, named entities and verbs. We\nused ontologies both as a knowledge base and a basis for the dialogue manager;\nthe knowledge base component and dialogue manager components coalesce in a\nsense. Domain knowledge is used to track Entities of Interest, i.e. nodes\n(classes) of the ontology which happen to be products and services. In this way\nwe also introduced conversation memory and attention in a sense. We finely\nblended linguistic methods, domain-driven keyword ranking and domain ontologies\nto create ways of domain-driven conversation. Proposed framework is used in our\nin-house German language banking and finance chatbots. General challenges of\nGerman language processing and finance-banking domain chatbot language models\nand lexicons are also introduced. This work is still in progress, hence no\nsuccess metrics have been introduced yet.","url_abs":"http://arxiv.org/abs/1804.04838v1","url_pdf":"http://arxiv.org/pdf/1804.04838v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-ontology-based-dialogue-management-system","repo_url":"https://github.com/TimKettenacker/puffin","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"chatbot","task_name":"Chatbot"},{"task_slug":"dialogue-management","task_name":"Dialogue Management"},{"task_slug":"management","task_name":"Management"},{"task_slug":"specificity","task_name":"Specificity"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1804.04838","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}