Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/27804
Title: A framework for the generation of computer system diagnostics in natural language using finite state methods
Authors: Farell, Rachel
Pace, Gordon J.
Rosner, Mike
Keywords: Natural language processing (Computer science)
Sequential machine theory
Computer systems -- Design
Issue Date: 2015-08
Publisher: University of Malta. Department of Computer Science
Citation: Farell, R., & Pace, G. J., & Rosner, M. (2015). A framework for the generation of computer system diagnostics in natural language using finite state methods (No. CS2015-01). Msida, Malta.
Abstract: The need for understanding what has lead to a failure in a computer system is crucial for addressing problems with such systems. In this report we present a meta-NLG system that can be configured to generate natural explanations from error trace data originating in an external computational system. Distinguishing features are the generic nature of the system, and the underlying technology which is finite-state. Results of a two-pronged evaluation dealing with naturalness and ease of use are described.
URI: https://www.um.edu.mt/library/oar//handle/123456789/27804
Appears in Collections:Scholarly Works - FacICTCS

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