# Part-of-Speech tagging on UD1 (test)

Source: [Part-of-Speech tagging on UD1 (test)](<https://www.sota2.com/research/sota/part-of-speech-tagging-on-ud1-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:43:11.620Z

Evaluation of Part-of-Speech (POS) Tagging performance on the test split of the UD1 dataset, reporting F1-score.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Part-of-Speech tagging |
| Dataset (including any stated split) | UD1 (test) |
| Metric | F1 Score |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 11 of 11 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [F1 Score](<https://www.sota2.com/research/sota/part-of-speech-tagging-on-ud1-test.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | F1 Score | Result date | Report paper |
| --- | --- | --- | --- |
| BABERT-LE | 95.74 | Not recorded | 68fa6dc61e209131cea3c0ea |
| MEM-ZEN | 95.69 | Not recorded | 68fa6dc61e209131cea3c0ea |
| BABERT | 95.65 | Not recorded | 68fa6dc61e209131cea3c0ea |
| MEM-BERT | 95.6 | Not recorded | 68fa6dc61e209131cea3c0ea |
| NEZHA | 95.57 | Not recorded | 68fa6dc61e209131cea3c0ea |
| ZEN | 95.55 | Not recorded | 68fa6dc61e209131cea3c0ea |
| BERT-wwm | 95.5 | Not recorded | 68fa6dc61e209131cea3c0ea |
| BERT-LE | 95.49 | Not recorded | 68fa6dc61e209131cea3c0ea |
| ERNIE | 95.28 | Not recorded | 68fa6dc61e209131cea3c0ea |
| ERNIE-Gram | 95.26 | Not recorded | 68fa6dc61e209131cea3c0ea |
| BERT | 95.04 | Not recorded | 68fa6dc61e209131cea3c0ea |

### BABERT-LE

F1 Score: 95.74. Result ID: 698fe7da3a6c314849fcb1e2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Implementation](<http://github.com/modelscope/adaseq/examples/babert>)

Recorded evaluation configuration: {"Category":"Supervised Lexicon Enhanced Model","External Knowledge":"Yes"}. This record does not assert independent reproduction.

### MEM-ZEN

F1 Score: 95.69. Result ID: 698fe7da3a6c314849fcb1e4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

Recorded evaluation configuration: {"Category":"Supervised Lexicon Enhanced Model","External Knowledge":"Yes"}. This record does not assert independent reproduction.

### BABERT

F1 Score: 95.65. Result ID: 698fe7da3a6c314849fcb1db.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Implementation](<http://github.com/modelscope/adaseq/examples/babert>)

Recorded evaluation configuration: {"Category":"Pre-Trained Language Model"}. This record does not assert independent reproduction.

### MEM-BERT

F1 Score: 95.6. Result ID: 698fe7da3a6c314849fcb1e3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

Recorded evaluation configuration: {"Category":"Supervised Lexicon Enhanced Model","External Knowledge":"Yes"}. This record does not assert independent reproduction.

### NEZHA

F1 Score: 95.57. Result ID: 698fe7da3a6c314849fcb1e0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b421e209131cea2d05a.md>)

Recorded evaluation configuration: {"Category":"Pre-Trained Language Model"}. This record does not assert independent reproduction.

### ZEN

F1 Score: 95.55. Result ID: 698fe7da3a6c314849fcb1df.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa669b1e209131cea115e1.md>)

[Implementation](<https://github.com/sinovation/ZEN>)

Recorded evaluation configuration: {"Category":"Pre-Trained Language Model"}. This record does not assert independent reproduction.

### BERT-wwm

F1 Score: 95.5. Result ID: 698fe7da3a6c314849fcb1dc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b4f1e209131cea2d827.md>)

[Implementation](<https://github.com/ymcui/Chinese-BERT-wwm>)

Recorded evaluation configuration: {"Category":"Pre-Trained Language Model"}. This record does not assert independent reproduction.

### BERT-LE

F1 Score: 95.49. Result ID: 698fe7da3a6c314849fcb1e1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b7a1e209131cea2e6d7.md>)

Recorded evaluation configuration: {"Category":"Supervised Lexicon Enhanced Model","External Knowledge":"Yes","Reproduced":"Yes"}. This record does not assert independent reproduction.

### ERNIE

F1 Score: 95.28. Result ID: 698fe7da3a6c314849fcb1dd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65ac1e209131cea0bd99.md>)

[Implementation](<https://github.com/PaddlePaddle/LARK/tree/develop/ERNIE>)

Recorded evaluation configuration: {"Category":"Pre-Trained Language Model"}. This record does not assert independent reproduction.

### ERNIE-Gram

F1 Score: 95.26. Result ID: 698fe7da3a6c314849fcb1de.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69bc1e209131cea23e33.md>)

Recorded evaluation configuration: {"Category":"Pre-Trained Language Model"}. This record does not assert independent reproduction.

### BERT

F1 Score: 95.04. Result ID: 698fe7da3a6c314849fcb1da.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: {"Category":"Pre-Trained Language Model"}. This record does not assert independent reproduction.

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