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JACIII Vol.23 No.5 pp. 947-955
doi: 10.20965/jaciii.2019.p0947
(2019)

Paper:

Efficient Corpus Creation Method for NLU Using Interview with Probing Questions

Kazuaki Shima*, Takeshi Homma**, Masataka Motohashi*, Rintaro Ikeshita**, Hiroaki Kokubo**, Yasunari Obuchi***, and Jinhua She***,†

*Clarion Co., Ltd.
7-2 Shintoshin, Chuo-ku, Saitama, Saitama 330-0081, Japan

**Research & Development Group, Hitachi, Ltd.
1-280 Higashi-koigakubo, Kokubunji, Tokyo 185-8601, Japan

***Tokyo University of Technology
1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan

Corresponding Author

Received:
February 19, 2019
Accepted:
May 7, 2019
Published:
September 20, 2019
Keywords:
interview, natural language understanding, corpus, probing, morpheme
Abstract
Efficient Corpus Creation Method for NLU Using Interview with Probing Questions

Corpus creation method with probing

This paper presents an efficient method to build a corpus to train natural language understanding (NLU) modules. Conventional corpus creation methods involve a common cycle: a subject is given a specific situation where the subject operates a device by voice, and then the subject speaks one utterance to execute the task. In these methods, many subjects are required in order to build a large-scale corpus, which causes a problem of increasing lead time and financial cost. To solve this problem, we propose to incorporate a “probing question” into the cycle. Specifically, after a subject speaks one utterance, the subject is asked to think of alternative utterances to execute the same task. In this way, we obtain many utterances from a small number of subjects. An evaluation of the proposed method applied to interview-based corpus creation shows that the proposed method reduces the number of subjects by 41% while maintaining morphological diversity in a corpus and morphological coverage for user utterances spoken to commercial devices. It also shows that the proposed method reduces the total time for interviewing subjects by 36% compared with the conventional method. We conclude that the proposed method can be used to build a useful corpus while reducing lead time and financial cost.

Cite this article as:
K. Shima, T. Homma, M. Motohashi, R. Ikeshita, H. Kokubo, Y. Obuchi, and J. She, “Efficient Corpus Creation Method for NLU Using Interview with Probing Questions,” J. Adv. Comput. Intell. Intell. Inform., Vol.23, No.5, pp. 947-955, 2019.
Data files:
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Last updated on Oct. 18, 2019