Self-supervised log parsing using semantic contribution difference

Published: 01 Jan 2023, Last Modified: 11 Feb 2025J. Syst. Softw. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Integrates advanced NLP technology to construct semantic contributions of words to parse logs.•Is the first approach to treat log parsing as a natural language processing task and use semantic features for log parsing.•Outperforms the SOTA parsers on 16 benchmark datasets.•Open source.
Loading