Type of Document	Master's Thesis
Author	Shankaranarayanan, S.
URN	etd-04292009-115636
Title	Detection of Coreferences in Automatic Specifications Analysis
Degree	Master of Science
Department	Electrical Engineering
Advisory Committee	Advisor Name Title Armstrong, James R. Committee Member Cyre, Walling R. Committee Member Gray, Festus Gail Committee Member
Keywords	computer input-output equipment
Date of Defense	1994-01-04
Availability	restricted
Abstract Specifications 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.
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