Requirement Text Detection from Contract Packages to Support Project Definition Determination Chukharev-Hudilainen, Evgeny Le, Tuyen Le, Chau Jeong, H. David Gilbert, Stephen Gilbert, Stephen 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 2021-01-21T18:31:55.000 2021-02-25T18:44:03Z 2021-02-25T18:44:03Z Tue Jan 01 00:00:00 UTC 2019 2021-01-21 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="" target="_blank">10.1007/978-3-030-00220-6_68</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 1010
dc.identifier.contextkey 21208702
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath engl_conf/13
dc.language.iso en
dc.source.bitstream archive/|||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
relation.isAuthorOfPublication 8bf3ebd3-e598-47a4-9959-d9e716eb081d
relation.isAuthorOfPublication a3a8c6a1-90cd-4fa0-9cf3-316a1535958d
relation.isOrgUnitOfPublication dad3cd36-0f8b-49c3-b43f-1df139ae2068
relation.isOrgUnitOfPublication 796236b3-85a0-4cde-b154-31da9e94ed42
relation.isOrgUnitOfPublication a7f2ac65-89b1-4c12-b0c2-b9bb01dd641b
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
Original bundle
Now showing 1 - 1 of 1
886.49 KB
Adobe Portable Document Format