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dc.contributor.authorSimon, Nisha
dc.date.accessioned2018-08-07T14:26:36Z
dc.date.available2018-08-07T14:26:36Z
dc.identifier.urihttp://hdl.handle.net/10222/74093
dc.description.abstractExtracting key terms from technical documents allows us to write effective documentation that is specific and clear, with minimum ambiguity and confusion caused by nearly synonymous but different terms. For instance, in order to avoid confusion, the same object should not be referred to by two different names. In the modern world of commerce, clear terminology is the hallmark of successful RFPs (Requests for Proposal) and is therefore a key to the growth of competitive organizations. While Automatic Term Extraction (ATE) is a well-developed area of study, its applications in the technical domain have been sparse and limited to certain narrow areas such as the biomedical research domain. We present a method for Automatic Term Extraction (ATE) for the technical domain based on the use of part-of-speech features and common words information. The novelty of this thesis lies in the domain to which ATE is applied. Our method is evaluated on a C programming language reference manual as well as a manual of aircraft maintenance guidelines, and has shown comparable or better results to the reported state of the art results. In addition, we also compared our system to another method (TBXTools statistical) and obtained favourable results.en_US
dc.language.isoen_USen_US
dc.subjectAutomatic Term Extractionen_US
dc.subjectNLPen_US
dc.subjectTechnical Documentsen_US
dc.titleAUTOMATIC TERM EXTRACTION IN TECHNICAL DOMAIN USING PART-OF-SPEECH AND COMMON-WORD FEATURESen_US
dc.date.defence2018-05-15
dc.contributor.departmentFaculty of Computer Scienceen_US
dc.contributor.degreeMaster of Computer Scienceen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorNorbert Zehen_US
dc.contributor.thesis-readerEvangelos E. Miliosen_US
dc.contributor.thesis-readerAbidalrahman Mohammaden_US
dc.contributor.thesis-supervisorVlado Kešeljen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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