Presentation | 2022-12-21 Modality estimation of reflection texts written in In-house training Makoto Yamada, Tsunenori Mine, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this study, we propose a modality estimation method for the reflection texts written in in-house training programs. By estimating the semantics of the modality, we aim to understand the degree of understanding of the training content and the degree of growth of employees over time. Experimental results show that the proposed methods enables modality estimation with higher accuracy than manually formulated rules based on sentence structure, even when the modality is subdivided into four categories: probability, value judgment, attitude, and tense. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | In-house training / Reflection text / NLP / BERT |
Paper # | AI2022-37 |
Date of Issue | 2022-12-14 (AI) |
Conference Information | |
Committee | AI |
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Conference Date | 2022/12/21(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Yuichi Sei(Univ. of Electro-Comm.) |
Vice Chair | Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.) |
Secretary | Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.) |
Assistant | Kazutaka Matsuzaki(Chuo Univ.) |
Paper Information | |
Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Modality estimation of reflection texts written in In-house training |
Sub Title (in English) | |
Keyword(1) | In-house training |
Keyword(2) | Reflection text |
Keyword(3) | NLP |
Keyword(4) | BERT |
1st Author's Name | Makoto Yamada |
1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
2nd Author's Name | Tsunenori Mine |
2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
Date | 2022-12-21 |
Paper # | AI2022-37 |
Volume (vol) | vol.122 |
Number (no) | AI-322 |
Page | pp.pp.24-29(AI), |
#Pages | 6 |
Date of Issue | 2022-12-14 (AI) |