演題概要

ポスター発表

第3日　5月13日（水）　　P会場（1008/09）

3P-30　　PDF

事前学習モデルを用いた質量分析アプリケーション事例の検索

(¹島津基盤研・ ²島津)
^o森本健太郎¹・ 石川勇樹¹・ 三田佳那子¹・ 大谷昭成¹・ 早川禎宏²・ 梶原茂樹¹

We have developed search method for mass spectrometry application using neural language processing. This method enables us to search similar application to target sample based on context. One of the most rapidly development in the field of NLP was BERT(Bidirectional Encoder Representations from Transformers). It's built on pre-training contextual representations called pre-trained model. We adapted BERT pre-trained model for our search method.