A framework for the generation of computer system diagnostics in natural language using finite state methods

Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/23988

Title:	A framework for the generation of computer system diagnostics in natural language using finite state methods
Authors:	Farrell, Rachel Pace, Gordon J. Rosner, Michael
Keywords:	Computational linguistics Natural language processing (Computer science) Computer systems -- Verification Programming languages (Electronic computers) Computer algorithms
Issue Date:	2015
Publisher:	Association for Computational Linguistics
Citation:	Farrell, R., Pace, G., & Rosner, M. (2015). A framework for the generation of computer system diagnostics in natural language using finite state methods. In Proceedings of the 15th European Workshop on Natural Language Generation, Brighton. 52-56.
Abstract:	Understanding what has led to a failure is crucial for addressing problems with computer systems. 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 finite-state technology. Results of a two-pronged evaluation dealing with naturalness and ease of use are described.
URI:	https://www.um.edu.mt/library/oar//handle/123456789/23988
Appears in Collections:	Scholarly Works - FacICTCS

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