Transforming a Specialized Q&A System to a Chatbot System: A Case of a Simplified Taxation in Korea

Jihye Jang, Keeheon Lee

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

Abstract

In this paper, we propose a way to transform traditional Q&As into conversational Q&As for an efficient information retrieval in special knowledge. Special knowledge involves difficult words. It requires users to raise a series of questions and get the answers to them to pinpoint the desired information. And, conversational Q&A is appropriate than the traditional Q&A because it allows a user to narrow down searches in a solution space. To transform a given set of Q&As to conversational Q&A system for special knowledge search, we first explore not only the present traditional Q&A systems and conversational Q&A systems for general knowledge search, but also those for special knowledge search. From this, we induce an appropriate search process in conversational Q&A systems for special knowledge. Secondly, we build an ontology with the help of machine learning to support the navigation in special knowledge. Finally, we give a way to evaluate performance after embedding the ontology on our search process of conversational Q&A. We apply this procedure to the case of Korean simplified taxation in a Korean Q&A system, Naver Jisik-In Q&A. We found that searching through Jisik-In Q&A with ontology has better usability than using Jisik-In Q&A only. Therefore, this study aims to improve the usability of special knowledge search, lower the threshold of special knowledge, and develop special knowledge as general as common knowledge using conversational Q&A based on ontology. However, as the number of user experimented is limited and the classifier for the extracted words from existing Q&A system should be reviewed by tax expert, so the future work is demanded.

Original languageEnglish
Title of host publicationHCI International 2019 – Late Breaking Posters - 21st HCI International Conference, HCII 2019, Proceedings
EditorsConstantine Stephanidis, Margherita Antona
PublisherSpringer
Pages296-308
Number of pages13
ISBN (Print)9783030307110
DOIs
Publication statusPublished - 2019 Jan 1
Event21st International Conference on Human Computer Interaction, HCII 2019 - Orlando, United States
Duration: 2019 Jul 262019 Jul 31

Publication series

NameCommunications in Computer and Information Science
Volume1088
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference21st International Conference on Human Computer Interaction, HCII 2019
CountryUnited States
CityOrlando
Period19/7/2619/7/31

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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    Jang, J., & Lee, K. (2019). Transforming a Specialized Q&A System to a Chatbot System: A Case of a Simplified Taxation in Korea. In C. Stephanidis, & M. Antona (Eds.), HCI International 2019 – Late Breaking Posters - 21st HCI International Conference, HCII 2019, Proceedings (pp. 296-308). (Communications in Computer and Information Science; Vol. 1088). Springer. https://doi.org/10.1007/978-3-030-30712-7_38