基于BERT的内部训练反思文本模态估计方法。

M. Yamada, Tsunenori Mine
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引用次数: 0

摘要

内部培训包括员工通过撰写书面反思来反思培训的机会。其目的是让员工有机会回顾和思考“在培训中学到的内容如何在后续工作中使用”,并让员工发现自己的问题,并制定未来的行动目标。此外,可以衡量培训的有效性,计划人员也可以发现培训本身的问题,例如内容的适当性,这对于改进未来的培训计划是有用的。然而,对这些员工反思文本的研究很少,特别是对使用自然语言处理(NLP)进行文本分析的研究很少,需要找到方法来为这些文本找到有用的用途。通过对积累的反思性陈述数据采用NLP方法,可以估计员工对培训内容的理解程度,并掌握员工随时间的成长程度。此外,有可能提出适合每个员工的培训内容,并作为该方法的进一步发展提高培训效率。作为实现这些可能性的第一步,本研究提出了一种自动情态估计方法,重点关注回顾性自我反思句中的句末表达。日语中的情态包括说话人的主观语义内容,它表明了说话人对事实的判断以及他/她对说话和对听者的交流的态度。因此,我们认为培训文本中自我反思句的情态部分包含了重要的信息,这些信息有助于理解每个员工的行为和意图。实验结果表明,与基于句子结构的人工规则相比,该方法的情态估计精度更高。研究结果还表明,所提出的方法可以应用于反思句的更深入分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modality estimation methods in internal training reflection texts using BERT.
In-house training includes opportunities for employees to reflect on the training through the writing of written reflections. Its purpose is to create opportunities to look back and think about "how the content learned in the training could be utilised in subsequent work," and to allow employees to discover their own issues and set future action goals. In addition, it is possible to measure the effectiveness of the training, and the planners can also discover issues in the training itself, such as the appropriateness of the content, which is useful for improving future training programs. However, there has been little research on these employee reflection texts, especially text analysis using natural language processing (NLP), and there is a need for methods to find useful uses for the texts. By taking a NLP approach to the accumulated data of reflective statements, it is possible to estimate the degree of understanding of the training content and to grasp the degree of growth of employees over time. In addition, there is a potential for proposing training content suited to each employee and improving the efficiency of training as a further development of this approach. As a first step towards the realization of these possibilities, this study proposes automatic modality estimation methods focusing on sentence-final expressions in retrospective self-reflection sentences. Modality in Japanese includes the speaker’s subjective semantic content, which indicates the speaker’s judgement of facts and his/her attitude towards speech and communication to the listener. Therefore, we believe that the modality part of self-reflection sentences on training texts contains important information that leads to the understanding of each employee’s behavior and intentions. Experimental results show that the proposed methods enables modality estimation with higher accuracy than manually formulated rules based on sentence structure. The results also show the possibility of developing the proposed methods to be applied to a deeper analysis approach to reflection sentences.
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