Requirement Text Detection from Contract Packages to Support Project Definition Determination

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dc.contributor.author Chukharev-Hudilainen, Evgeny
dc.contributor.author Le, Tuyen
dc.contributor.author Le, Chau
dc.contributor.author Jeong, H. David
dc.contributor.author Gilbert, Stephen
dc.contributor.author Gilbert, Stephen
dc.contributor.author Chukharev-Hudilainen, Evgeny
dc.contributor.department Virtual Reality Applications Center
dc.contributor.department Psychology
dc.contributor.department English
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.contributor.department Human Computer Interaction
dc.contributor.department Virtual Reality Applications Center
dc.date 2021-01-21T18:31:55.000
dc.date.accessioned 2021-02-25T18:44:03Z
dc.date.available 2021-02-25T18:44:03Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2019
dc.date.embargo 2021-01-21
dc.date.issued 2019-01-01
dc.description.abstract <p>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%.</p>
dc.description.comments <p>This is a post-peer-review, pre-copyedit version of a proceeding published as Le, Tuyen, Chau Le, H. David Jeong, Stephen B. Gilbert, and Evgeny Chukharev-Hudilainen. "Requirement text detection from contract packages to support project definition determination." In: <em>Advances in Informatics and Computing in Civil and Construction Engineering</em> (2019): 569-576. The final authenticated version is available online at DOI: <a href="https://doi.org/10.1007/978-3-030-00220-6_68" target="_blank">10.1007/978-3-030-00220-6_68</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/engl_conf/13/
dc.identifier.articleid 1010
dc.identifier.contextkey 21208702
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath engl_conf/13
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/94209
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/engl_conf/13/2019_ChukharevHudilainen_RequirementText.pdf|||Fri Jan 14 19:41:31 UTC 2022
dc.source.uri 10.1007/978-3-030-00220-6_68
dc.subject.disciplines Applied Linguistics
dc.subject.disciplines Construction Engineering and Management
dc.subject.disciplines Ergonomics
dc.subject.disciplines Operational Research
dc.subject.keywords Project definition
dc.subject.keywords Requirement management
dc.subject.keywords Requirement extraction
dc.subject.keywords Machine learning
dc.subject.keywords Natural language processing
dc.subject.keywords Text classification
dc.subject.keywords Naïve bayes
dc.title Requirement Text Detection from Contract Packages to Support Project Definition Determination
dc.type article
dc.type.genre conference
dspace.entity.type Publication
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