A conceptual IR chatbot framework with automated keywords-base

This paper proposes a conceptual remodel of Information Retrieval (IR) chatbot framework designed to eliminate the need for large Question-Answer (QA) pair dataset in chatbot's machine learning training and knowledge base development. Within ten proposed framework's components, we describe...

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Main Authors: Abbas Saliimi, Lokman, M. A., Ameedeen, N., A. Ghani
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2020
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Online Access:http://umpir.ump.edu.my/id/eprint/29666/1/27.%20A%20conceptual%20IR%20chatbot%20framework%20with%20automated%20keywords-base.pdf
http://umpir.ump.edu.my/id/eprint/29666/
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Institution: Universiti Malaysia Pahang
Language: English
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spelling my.ump.umpir.296662020-11-19T02:01:09Z http://umpir.ump.edu.my/id/eprint/29666/ A conceptual IR chatbot framework with automated keywords-base Abbas Saliimi, Lokman M. A., Ameedeen N., A. Ghani QA76 Computer software This paper proposes a conceptual remodel of Information Retrieval (IR) chatbot framework designed to eliminate the need for large Question-Answer (QA) pair dataset in chatbot's machine learning training and knowledge base development. Within ten proposed framework's components, we describe Ans2Q: a Neural Network model for question type approximation, and HR6: an IR score ranking calculation based on Ans2Q output. Fundamentally, these two components are the variance in which the proposed framework differs from others. Together with process flow explanation, we also provide several related formulas that hopefully can be used to implement this framework. Our general aim with this framework is to provide a tool that can be used to develop close domain chatbot with small knowledge and no readily available QA pair datasets. IOP Publishing 2020 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/29666/1/27.%20A%20conceptual%20IR%20chatbot%20framework%20with%20automated%20keywords-base.pdf Abbas Saliimi, Lokman and M. A., Ameedeen and N., A. Ghani (2020) A conceptual IR chatbot framework with automated keywords-base. In: IOP Conference Series: Materials Science and Engineering, The 6th International Conference on Software Engineering & Computer Systems, 25-27 September 2019 , Pahang, Malaysia. pp. 1-10., 769 (012020). ISSN 1757-899X
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Abbas Saliimi, Lokman
M. A., Ameedeen
N., A. Ghani
A conceptual IR chatbot framework with automated keywords-base
description This paper proposes a conceptual remodel of Information Retrieval (IR) chatbot framework designed to eliminate the need for large Question-Answer (QA) pair dataset in chatbot's machine learning training and knowledge base development. Within ten proposed framework's components, we describe Ans2Q: a Neural Network model for question type approximation, and HR6: an IR score ranking calculation based on Ans2Q output. Fundamentally, these two components are the variance in which the proposed framework differs from others. Together with process flow explanation, we also provide several related formulas that hopefully can be used to implement this framework. Our general aim with this framework is to provide a tool that can be used to develop close domain chatbot with small knowledge and no readily available QA pair datasets.
format Conference or Workshop Item
author Abbas Saliimi, Lokman
M. A., Ameedeen
N., A. Ghani
author_facet Abbas Saliimi, Lokman
M. A., Ameedeen
N., A. Ghani
author_sort Abbas Saliimi, Lokman
title A conceptual IR chatbot framework with automated keywords-base
title_short A conceptual IR chatbot framework with automated keywords-base
title_full A conceptual IR chatbot framework with automated keywords-base
title_fullStr A conceptual IR chatbot framework with automated keywords-base
title_full_unstemmed A conceptual IR chatbot framework with automated keywords-base
title_sort conceptual ir chatbot framework with automated keywords-base
publisher IOP Publishing
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/29666/1/27.%20A%20conceptual%20IR%20chatbot%20framework%20with%20automated%20keywords-base.pdf
http://umpir.ump.edu.my/id/eprint/29666/
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