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Virginia Tech

Detection of Coreferences in Automatic Specifications Analysis

Abstract

dc:description.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.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Electrical Engineering
Department dc:contributor.department
Electrical Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1994

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Shankaranarayanan, S.
Committee members dc:contributor.committeemember
  • Cyre, Walling R.
  • Armstrong, James R.
  • Gray, Festus Gail

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
etd-04292009-115636
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/42360

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Shankaranarayanan, S.. Detection of Coreferences in Automatic Specifications Analysis. masters thesis, Virginia Tech, 1994. http://hdl.handle.net/10919/42360