[3J4-GS-6c] 言語メディア処理：言語モデル

[3J4-GS-6c-04] Investigation of Natural Language Processing by Deep Learning for Application to Development and Operation of X as a Service

〇Shigeaki Goto¹, Eiji Tsuchiya¹, Yoshihiro Mizuno¹ (1. Toyota Central R&D Labs., Inc.)

Keywords:Natural language processing, BERT, Systems engineering, SysML, Model-based

X as a Service, represented by Software as a Service, often adopts the DevOps method, which integrates development and operations. The purpose of adopting DevOps is to grow the system into what the users want by repeatedly acquiring user needs during system operation and reflecting user needs during system development. In this research, we investigate a natural language processing algorithm that extracts descriptions of user needs from natural language texts such as SNS posts, and automatically converts them into a SysML-compliant representation that can be easily reflected in system development, so that DevOps can be executed faster. In this paper, we report on the definition of the natural language processing task, its implementation with the application of a named entity recognition task by BERT, and the trial results confirming the F-measure of 69.3%.