Principle-based approach for semi-Automatic construction of a restaurant question answering system from limited datasets

Ting Hao Yang; Yu Lun Hsieh; Youshan Chung; Cheng Wei Shih; Shih Hung Liu; Yung Chun Chang; Wen Lian Hsu

doi:10.1109/IRI.2016.77

Principle-based approach for semi-Automatic construction of a restaurant question answering system from limited datasets

Ting Hao Yang, Yu Lun Hsieh, Youshan Chung, Cheng Wei Shih, Shih Hung Liu, Yung Chun Chang, Wen Lian Hsu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Question answering (QA) is an important research issue in natural language processing, and most state-of-the-Art question answering systems are based on statistical models. After wit nessing recent achievements in ArtfIcial Intelligent (Al), many businesses wish to apply those techniques to an automatic QA system that is capable of providing 24-hour customer services for their clients. However, o ne imminent problem is the lack of labeled training data for the specfIc domain. To address this issue, we propose to combine a knowledge-based approach and an automatic principle generation process to build a QA system from limited resources. Experiments conducted on a Mandarin Restaurant dataset show that our system achieves an average accuracy of 44% for 10 question types. It demonstrates that our approach can provide an effective tool when creating a QA system.

Original language	English
Title of host publication	Proceedings - 2016 IEEE 17th International Conference on Information Reuse and Integration, IRI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	520-524
Number of pages	5
ISBN (Electronic)	9781509032075
DOIs	https://doi.org/10.1109/IRI.2016.77
Publication status	Published - 2016
Externally published	Yes
Event	17th IEEE International Conference on Information Reuse and Integration, IRI 2016 - Pittsburgh, United States Duration: Jul 28 2016 → Jul 30 2016

Conference

Conference	17th IEEE International Conference on Information Reuse and Integration, IRI 2016
Country/Territory	United States
City	Pittsburgh
Period	7/28/16 → 7/30/16

Keywords

Alignment
Dominating Set
Ontology

ASJC Scopus subject areas

Information Systems
Information Systems and Management

Access to Document

10.1109/IRI.2016.77

Cite this

Yang, T. H., Hsieh, Y. L., Chung, Y., Shih, C. W., Liu, S. H., Chang, Y. C., & Hsu, W. L. (2016). Principle-based approach for semi-Automatic construction of a restaurant question answering system from limited datasets. In Proceedings - 2016 IEEE 17th International Conference on Information Reuse and Integration, IRI 2016 (pp. 520-524). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRI.2016.77

Principle-based approach for semi-Automatic construction of a restaurant question answering system from limited datasets. / Yang, Ting Hao; Hsieh, Yu Lun; Chung, Youshan et al.

Proceedings - 2016 IEEE 17th International Conference on Information Reuse and Integration, IRI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 520-524.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yang, TH, Hsieh, YL, Chung, Y, Shih, CW, Liu, SH, Chang, YC & Hsu, WL 2016, Principle-based approach for semi-Automatic construction of a restaurant question answering system from limited datasets. in Proceedings - 2016 IEEE 17th International Conference on Information Reuse and Integration, IRI 2016. Institute of Electrical and Electronics Engineers Inc., pp. 520-524, 17th IEEE International Conference on Information Reuse and Integration, IRI 2016, Pittsburgh, United States, 7/28/16. https://doi.org/10.1109/IRI.2016.77

Yang TH, Hsieh YL, Chung Y, Shih CW, Liu SH, Chang YC et al. Principle-based approach for semi-Automatic construction of a restaurant question answering system from limited datasets. In Proceedings - 2016 IEEE 17th International Conference on Information Reuse and Integration, IRI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 520-524 doi: 10.1109/IRI.2016.77

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Principle-based approach for semi-Automatic construction of a restaurant question answering system from limited datasets

Abstract

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Keywords

ASJC Scopus subject areas

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