A Multilingual NLP Framework for Offshore Installations

被引：0
|
作者：
Sampson, Jennifer [1 ]
Koczka, Peter [1 ]
机构：
[1] Equinor UK Ltd, London, England
来源：
NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, PT II, NLDB 2024 | 2024年 / 14763卷
关键词：
AI; information extraction; multilingual; NLP;
D O I：
10.1007/978-3-031-70242-6_35
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a novel multilingual NLP framework tailored for Brazilian offshore operations, combining data engineering, alignment techniques, and information extraction to offer safety recommendations based on a decade of Brazilian offshore experience. NLP models provide platform staff with relevant historical incident lessons, integrated into a microservice architecture for streamlined access. The paper also discusses future work using LLMs for improvement.
引用
收藏
页码：367 / 377
页数：11
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