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Network monitoring and diagnostics systems depict the running system's state and generate enormous amounts of unstructured data through log files, print statements, and other reports. It is not feasible to manually analyze all these files due to limited resources and the need to develop custom parsers to convert unstructured data into desirable file formats. Prior research focuses on rule-based and relationship-based parsing methods to parse unstructured data into structured file formats; these methods are labor-intensive and need large annotated datasets. |