Title page for ETD etd-04292009-115636


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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