Update README.md

Author: imkymn

README.md

@@ -55,23 +55,23 @@ python corr_sentence.py --human_score HUMAN_SCORE --metric_score METRIC_SCORE --
 ## Evaluation scores for each system
 We provide the evaluation scores for each system to promote the use of existing evaluation metrics[^2].
 
-| | M<sup>2</sup> | SentM<sup>2</sup> | PT-M<sup>2</sup> | ERRANT | SentERRANT | PT-ERRANT | GoToScorer | GLEU | SOME | IMPARA |
-| :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
-| BART | 50.3 | 51.29 | 50.41 | 46.66 | 50.31 | 48.89 | 15.86 | 63.46 | 0.7933 | 5.31 |
-| BERT-fuse | 62.77 | 63.21 | 62.99 | 58.99 | 61.81 | 61.18 | 21.1 | 68.5 | 0.8151 | 5.816 |
-| GECToR-BERT | 61.83 | 61.23 | 60.76 | 58.05 | 59.76 | 59.17 | 18.98 | 66.56 | 0.8016 | 5.644 |
-| GECToR-ens | 63.53 | 60.37 | 59.21 | 61.43 | 59.64 | 58.57 | 16.58 | 65.08 | 0.786 | 5.17 |
-| GPT-3.5 | 53.5 | 53.28 | 53.41 | 44.12 | 49.23 | 48.93 | 22.85 | 65.93 | 0.8379 | 6.376 |
-| INPUT | 0.0 | 31.33 | 31.33 | 0.0 | 31.4 | 31.33 | 0.0 | 56.6 | 0.7506 | 4.089 |
-| LM-Critic | 55.5 | 58.0 | 57.16 | 52.38 | 56.41 | 55.86 | 16.23 | 64.39 | 0.8028 | 5.543 |
-| PIE | 59.93 | 60.7 | 60.69 | 55.89 | 59.35 | 58.65 | 21.07 | 67.83 | 0.8066 | 5.659 |
-| REF-F | 47.48 | 48.99 | 46.54 | 33.24 | 41.41 | 39.69 | 21.7 | 60.34 | 0.8463 | 6.569 |
-| REF-M | 60.12 | 62.3 | 62.91 | 54.77 | 60.11 | 60.6 | 23.92 | 67.27 | 0.8155 | 5.908 |
-| Riken-Tohoku | 64.74 | 64.22 | 64.31 | 61.88 | 63.13 | 62.73 | 20.94 | 68.37 | 0.8123 | 5.757 |
-| T5 | 65.07 | 65.2 | 66.13 | 60.65 | 63.24 | 63.77 | 20.46 | 68.81 | 0.8202 | 6.045 |
-| TemplateGEC | 56.29 | 57.59 | 57.47 | 51.34 | 56.08 | 55.96 | 14.7 | 65.07 | 0.7972 | 5.52 |
-| TransGEC | 68.08 | 68.33 | 68.37 | 64.43 | 66.76 | 66.37 | 21.93 | 70.2 | 0.82 | 6.035 |
-| UEDIN-MS | 64.55 | 62.68 | 62.67 | 61.33 | 61.38 | 61.19 | 18.94 | 67.41 | 0.808 | 5.591 |
+| | M<sup>2</sup> | SentM<sup>2</sup> | PT-M<sup>2</sup> | ERRANT | SentERRANT | PT-ERRANT | GoToScorer | GLEU | Scribendi Score | SOME | IMPARA |
+| :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
+| BART | 50.3 | 51.29 | 50.41 | 46.66 | 50.31 | 48.89 | 15.86 | 63.46 | 527 | 0.7933 | 5.31 |
+| BERT-fuse | 62.77 | 63.21 | 62.99 | 58.99 | 61.81 | 61.18 | 21.1 | 68.5 | 739 | 0.8151 | 5.816 |
+| GECToR-BERT | 61.83 | 61.23 | 60.76 | 58.05 | 59.76 | 59.17 | 18.98 | 66.56 | 640 | 0.8016 | 5.644 |
+| GECToR-ens | 63.53 | 60.37 | 59.21 | 61.43 | 59.64 | 58.57 | 16.58 | 65.08 | 529 | 0.786 | 5.17 |
+| GPT-3.5 | 53.5 | 53.28 | 53.41 | 44.12 | 49.23 | 48.93 | 22.85 | 65.93 | 835 | 0.8379 | 6.376 |
+| INPUT | 0.0 | 31.33 | 31.33 | 0.0 | 31.4 | 31.33 | 0.0 | 56.6 | 0.0 | 0.7506 | 4.089 |
+| LM-Critic | 55.5 | 58.0 | 57.16 | 52.38 | 56.41 | 55.86 | 16.23 | 64.39 | 683 | 0.8028 | 5.543 |
+| PIE | 59.93 | 60.7 | 60.69 | 55.89 | 59.35 | 58.65 | 21.07 | 67.83 | 601 | 0.8066 | 5.659 |
+| REF-F | 47.48 | 48.99 | 46.54 | 33.24 | 41.41 | 39.69 | 21.7 | 60.34 | 711 | 0.8463 | 6.569 |
+| REF-M | 60.12 | 62.3 | 62.91 | 54.77 | 60.11 | 60.6 | 23.92 | 67.27 | 754 | 0.8155 | 5.908 |
+| Riken-Tohoku | 64.74 | 64.22 | 64.31 | 61.88 | 63.13 | 62.73 | 20.94 | 68.37 | 678 | 0.8123 | 5.757 |
+| T5 | 65.07 | 65.2 | 66.13 | 60.65 | 63.24 | 63.77 | 20.46 | 68.81 | 668 | 0.8202 | 6.045 |
+| TemplateGEC | 56.29 | 57.59 | 57.47 | 51.34 | 56.08 | 55.96 | 14.7 | 65.07 | 448 | 0.7972 | 5.52 |
+| TransGEC | 68.08 | 68.33 | 68.37 | 64.43 | 66.76 | 66.37 | 21.93 | 70.2 | 779 | 0.82 | 6.035 |
+| UEDIN-MS | 64.55 | 62.68 | 62.67 | 61.33 | 61.38 | 61.19 | 18.94 | 67.41 | 666 | 0.808 | 5.591 |
 
 [^1]: Human rankings can be created by replacing the judgments.xml file in [Grundkiewicz et al. (2015)’s repository](https://github.com/grammatical/evaluation).
 [^2]: All scores are based on the entire text of the CoNLL-2014 test set and differ from the scores obtained using the subset used for our meta-evaluation.