A Framework for the Generation of Computer System Diagnostics in Natural Language using Finite State Methods

نویسندگان

  • Rachel Farrell
  • Gordon J. Pace
  • Mike Rosner
چکیده

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. A Framework for the Generation of Computer System Diagnostics in Natural Language using Finite State Methods Rachel Farrell University of Malta, Malta. Gordon J. Pace University of Malta, Malta [email protected] Michael Rosner University of Malta, Malta [email protected] 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. 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.

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تاریخ انتشار 2015