research-article

Question answering system with recommendation using fuzzy relational product operator

Authors:

Sun ParkAuthors Info & Claims

iiWAS '10: Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services

Pages 855 - 858

https://doi.org/10.1145/1967486.1967633

Published: 08 November 2010 Publication History

Abstract

When a user finds the answer using question answering system, sometimes the user may not be satisfied with answers. This is because it is difficult to deliver the intention of a user question to the system due to the lack of expression ability and polysemy and etc. So, the system must provide additional ways to search the correct answers. In this paper, we propose a new method to recommend questions that can satisfy the purpose of user question with high probability. We define the supplementary similarity to calculate the similarity between sentences which have a few common terms. And we define the fuzzy relation product operator to find the questions that are recommended when user is not satisfied with the answers. User can select the question among the list of recommended questions and has more chance to find the answers that the user can be satisfied with. We experiment and show that the performance of the system gets high as the recommendation is repeated.

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Cited By

Guessoum MDjiroun RBoukhalfa K(2019)Towards Decisional Natural Language Why-Question Recommendation Approach in Business Intelligence Context2019 International Conference on Networking and Advanced Systems (ICNAS)10.1109/ICNAS.2019.8807856(1-6)Online publication date: Jun-2019
https://doi.org/10.1109/ICNAS.2019.8807856
Gupta PGupta V(2014)Hybrid Approach for Punjabi Question Answering SystemAdvances in Signal Processing and Intelligent Recognition Systems10.1007/978-3-319-04960-1_12(133-149)Online publication date: 2014
https://doi.org/10.1007/978-3-319-04960-1_12
Ahn CLee JChoi BPark S(2011)Semantic Fuzzy Implication Operator for Semantic Implication Relationship of Knowledge Descriptions in Question Answering SystemThe Journal of the Korea Contents Association10.5392/JKCA.2011.11.3.07311:3(73-83)Online publication date: 28-Mar-2011
https://doi.org/10.5392/JKCA.2011.11.3.073

Index Terms

Question answering system with recommendation using fuzzy relational product operator

Index terms have been assigned to the content through auto-classification.

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cover image ACM Other conferences

iiWAS '10: Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services

November 2010

895 pages

ISBN:9781450304214

DOI:10.1145/1967486

General Chair:
Eric Pardede
La Trobe University, Australia
,
Program Chairs:
David Taniar
Monash University, Australia
,
Eric Pardede
La Trobe University, Australia

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 November 2010

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iiWAS '10: 12th International Conference on Information Integration and Web-based Applications & Services

November 8 - 10, 2010

Paris, France

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Cited By

Guessoum MDjiroun RBoukhalfa K(2019)Towards Decisional Natural Language Why-Question Recommendation Approach in Business Intelligence Context2019 International Conference on Networking and Advanced Systems (ICNAS)10.1109/ICNAS.2019.8807856(1-6)Online publication date: Jun-2019
https://doi.org/10.1109/ICNAS.2019.8807856
Gupta PGupta V(2014)Hybrid Approach for Punjabi Question Answering SystemAdvances in Signal Processing and Intelligent Recognition Systems10.1007/978-3-319-04960-1_12(133-149)Online publication date: 2014
https://doi.org/10.1007/978-3-319-04960-1_12
Ahn CLee JChoi BPark S(2011)Semantic Fuzzy Implication Operator for Semantic Implication Relationship of Knowledge Descriptions in Question Answering SystemThe Journal of the Korea Contents Association10.5392/JKCA.2011.11.3.07311:3(73-83)Online publication date: 28-Mar-2011
https://doi.org/10.5392/JKCA.2011.11.3.073

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