Learnings from a pilot hybrid question answering system: CQAS: Case study based on a Singapore government agency's customer service centre

The Singapore Government first released their digital government blueprint in 2018 with the key message for all their agencies to be "digital to the core and served with heart". With this push, agencies are moving towards human-centric digital services, especially for individual citizens....

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Main Authors: LEE, Hui Shan, SHANKARARAMAN, Venky, OUH, Eng Lieh
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/7601
https://ink.library.smu.edu.sg/context/sis_research/article/8604/viewcontent/3543434.3543661.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-86042022-12-22T03:33:09Z Learnings from a pilot hybrid question answering system: CQAS: Case study based on a Singapore government agency's customer service centre LEE, Hui Shan SHANKARARAMAN, Venky, OUH, Eng Lieh The Singapore Government first released their digital government blueprint in 2018 with the key message for all their agencies to be "digital to the core and served with heart". With this push, agencies are moving towards human-centric digital services, especially for individual citizens. During COVID-19, Singapore government agencies introduced many COVID-19 digital initiatives resulting in more incoming inquiries from citizens to respective agencies. This surge in inquiries created the challenge on the agencies' end to meet service level agreements. One widely adopted solution is the use of chatbot technology that directly interfaces with the customer. However, several organisations have faced backlash from the citizens or customers when such chatbots cannot answer or give inappropriate answers to the questions. Hence this research takes a different approach to address this challenge using a question answering (QA) system that supports the CSOs to help answer the citizen inquiries more efficiently.This paper shares our learnings from implementing the pilot QA system; the Citizen Question Answering System (CQAS) was built using a hybrid QA approach that combines techniques from Natural Language Process QA, Knowledge-based QA and Information Retrieval QA. We also highlight the essential learnings in implementing QA systems within a government agency. The research will further share how these learnings could inform the adoption of QA systems in a government setting. The subsequent research following this paper will then focus on conducting a user study with the CSOs to validate further the benefits of this pilot QA system, which is not covered in this paper. 2022-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/7601 info:doi/10.1145/3543434.3543661 https://ink.library.smu.edu.sg/context/sis_research/article/8604/viewcontent/3543434.3543661.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Question Answering Service Innovation Citizen Services Text Analytics Asian Studies Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Question Answering
Service Innovation
Citizen Services
Text Analytics
Asian Studies
Databases and Information Systems
spellingShingle Question Answering
Service Innovation
Citizen Services
Text Analytics
Asian Studies
Databases and Information Systems
LEE, Hui Shan
SHANKARARAMAN, Venky,
OUH, Eng Lieh
Learnings from a pilot hybrid question answering system: CQAS: Case study based on a Singapore government agency's customer service centre
description The Singapore Government first released their digital government blueprint in 2018 with the key message for all their agencies to be "digital to the core and served with heart". With this push, agencies are moving towards human-centric digital services, especially for individual citizens. During COVID-19, Singapore government agencies introduced many COVID-19 digital initiatives resulting in more incoming inquiries from citizens to respective agencies. This surge in inquiries created the challenge on the agencies' end to meet service level agreements. One widely adopted solution is the use of chatbot technology that directly interfaces with the customer. However, several organisations have faced backlash from the citizens or customers when such chatbots cannot answer or give inappropriate answers to the questions. Hence this research takes a different approach to address this challenge using a question answering (QA) system that supports the CSOs to help answer the citizen inquiries more efficiently.This paper shares our learnings from implementing the pilot QA system; the Citizen Question Answering System (CQAS) was built using a hybrid QA approach that combines techniques from Natural Language Process QA, Knowledge-based QA and Information Retrieval QA. We also highlight the essential learnings in implementing QA systems within a government agency. The research will further share how these learnings could inform the adoption of QA systems in a government setting. The subsequent research following this paper will then focus on conducting a user study with the CSOs to validate further the benefits of this pilot QA system, which is not covered in this paper.
format text
author LEE, Hui Shan
SHANKARARAMAN, Venky,
OUH, Eng Lieh
author_facet LEE, Hui Shan
SHANKARARAMAN, Venky,
OUH, Eng Lieh
author_sort LEE, Hui Shan
title Learnings from a pilot hybrid question answering system: CQAS: Case study based on a Singapore government agency's customer service centre
title_short Learnings from a pilot hybrid question answering system: CQAS: Case study based on a Singapore government agency's customer service centre
title_full Learnings from a pilot hybrid question answering system: CQAS: Case study based on a Singapore government agency's customer service centre
title_fullStr Learnings from a pilot hybrid question answering system: CQAS: Case study based on a Singapore government agency's customer service centre
title_full_unstemmed Learnings from a pilot hybrid question answering system: CQAS: Case study based on a Singapore government agency's customer service centre
title_sort learnings from a pilot hybrid question answering system: cqas: case study based on a singapore government agency's customer service centre
publisher Institutional Knowledge at Singapore Management University
publishDate 2022
url https://ink.library.smu.edu.sg/sis_research/7601
https://ink.library.smu.edu.sg/context/sis_research/article/8604/viewcontent/3543434.3543661.pdf
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