Natural language processing as work support in project tendering
Paper in proceeding, 2022
The research approach chosen includes developing a work support tool based on natural language processing and analyzing its usefulness through a combination of surveys and a workshop for tendering specialist. The results show that applying digitalized working methods and using artificial intelligence in the tender phase can enable data-informed decision making and generate benchmarking and risk management opportunities. The study contributes to insights regarding automation and digitization possibilities in tender projects and how artificial intelligence tools can be designed for supporting data-driven decisions.
Natural language processing, tendering, client requirements
Author
Linda Cusumano
Chalmers, Architecture and Civil Engineering, Structural Engineering
Rasmus Rempling
Chalmers, Architecture and Civil Engineering, Structural Engineering
Robert Jockwer
Chalmers, Architecture and Civil Engineering, Structural Engineering
Ricardo Alencar Saraiva
Chalmers, Architecture and Civil Engineering, Structural Engineering
Mats Granath
Institution of physics at Gothenburg University
Susumu Okazawa
Savantic AB
Nilla Olsson
NCC Building Sweden
Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems
1583-1588
978-1-003-34844-3 (ISBN)
Cape Town, South Africa,
IABSE TG 1.7 - Sustainability-driven Bridge Engineering for Early Design Phases
Swedish Transport Administration, 2019-09-09 -- 2023-09-09.
Data-informed design with the help of artificial intelligence
NCC Building Sweden, 2021-01-11 -- 2023-05-31.
Development Fund of the Swedish Construction Industry (SBUF) (13949), 2021-01-11 -- 2023-05-31.
Subject Categories
Language Technology (Computational Linguistics)
Design
Information Science
Information Systemes, Social aspects
DOI
10.1201/9781003348443-258