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dc.contributor.authorShankaranarayanan, S.en
dc.date.accessioned2014-03-14T21:35:05Zen
dc.date.available2014-03-14T21:35:05Zen
dc.date.issued1994-01-04en
dc.identifier.otheretd-04292009-115636en
dc.identifier.urihttp://hdl.handle.net/10919/42360en
dc.description.abstractSpecifications on digital hardware systems typically contain descriptions and requirements expressed in natural language and diagrams of various types. The objective of the research reported here is the automatic detection of common references ("coreferences") to objects in natural language specification statements in order to permit automatic integration of requirements. This thesis describes a prototype system for detecting coreferences. First, the natural language statements are translated into conceptual graphs (semantic nets). Then, these graphs are scanned by a rule-based system to determine whether each concept that is encountered is the definition of a new concept or a reference to a previously defined concept. Tests performed on the system developed indicate a high percentage rate of correct classifications.en
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1994.S526.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectcomputer input-output equipmenten
dc.subject.lccLD5655.V855 1994.S526en
dc.titleDetection of Coreferences in Automatic Specifications Analysisen
dc.typeThesisen
dc.contributor.departmentElectrical Engineeringen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineElectrical Engineeringen
dc.contributor.committeememberCyre, Walling R.en
dc.contributor.committeememberArmstrong, James R.en
dc.contributor.committeememberGray, Festus Gailen
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-04292009-115636/en
dc.date.sdate2009-04-29en
dc.date.rdate2009-04-29en
dc.date.adate2009-04-29en


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