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Requirement Text Detection from Contract Packages to Support Project Definition Determination

  • Tuyen LeEmail author
  • Chau Le
  • H. David Jeong
  • Stephen B. Gilbert
  • Evgeny Chukharev-Hudilainen
Conference paper

Abstract

Project requirements are wishes and expectations of the client toward the design, construction, and other project management processes. The project definition is typically specified in a contract package including a contract document and many other related documents such as drawings, specifications, and government codes. Project definition determination is critical to the success of a project. Due to the lack of efficient tools for requirement processing, the current practices regarding project scoping still heavily rely on a manual basis which is tedious, time-consuming, and error-prone. This study aims to fill that gap by developing an automated method for identifying requirement texts from contractual documents. The study employed Naïve Bayes to train a classification model that can be used to separate requirement statements from non-requirement statements. An experiment was conducted on a manually labeled dataset of 1191 statements. The results revealed that the developed requirement detection model achieves a promising accuracy of over 90%.

Keywords

Project definition Requirement management Requirement extraction Machine learning Natural language processing Text classification Naïve bayes 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Tuyen Le
    • 2
    Email author
  • Chau Le
    • 3
  • H. David Jeong
    • 3
  • Stephen B. Gilbert
    • 1
  • Evgeny Chukharev-Hudilainen
    • 1
  1. 1.Iowa State UniversityAmesUSA
  2. 2.Clemson UniversityClemsonUSA
  3. 3.Texas A&MCollege StationUSA

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