Before revision:  Our improved baseline model, incorporated with entity representations with type markersand confidence-based classification for enhanced NA instance detection , achieves an F1 of 75.0\% on TACRED, significantly outperforms previous SOTA methods  .
After revision:  Our improved baseline model, incorporated with entity representations with type markersand confidence-based classification for enhanced NA instance detection , achieves an F1 of 75.0\% on TACRED, significantly outperforms previous SOTA methods . Furthermore, the presented new baseline achieves an F1 of 91.1\% on the refined Re-TACRED dataset, demonstrating that the pre-trained language models achieve unexpectedly high performance on this task. We release our code to the community for future research .