# Nested Named Entity Recognition on English KBP 2017

Source: [Nested Named Entity Recognition on English KBP 2017](<https://www.sota2.com/research/sota/nested-named-entity-recognition-on-english-kbp-2017>)

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

Data updated: 2026-02-26T05:58:22.417Z

Evaluation of Nested Named Entity Recognition performance on the English KBP 2017 dataset, typically measured using Precision, Recall, and F1 scores.

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 | Nested Named Entity Recognition |
| Dataset (including any stated split) | English KBP 2017 |
| Metric | Precision |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [Precision](<https://www.sota2.com/research/sota/nested-named-entity-recognition-on-english-kbp-2017.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/nested-named-entity-recognition-on-english-kbp-2017.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/nested-named-entity-recognition-on-english-kbp-2017.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| BERT-MRC | 82.33 | Not recorded | 68fa6dfa1e209131cea3d1ea |
| ARN | 77.7 | Not recorded | 68fa6dfa1e209131cea3d1ea |
| KBP17-Best | 76.2 | Not recorded | 68fa6dfa1e209131cea3d1ea |

### BERT-MRC

Precision: 82.33. Result ID: 698ffd3a3a6c314849fd4a3b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dfa1e209131cea3d1ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dfa1e209131cea3d1ea.md>)

[Implementation](<https://github.com/ShannonAI/mrc-for-flat-nested-ner>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### ARN

Precision: 77.7. Result ID: 698ffd3a3a6c314849fd4a3a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dfa1e209131cea3d1ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65e11e209131cea0d14f.md>)

[Implementation](<https://www.sota2.com/github.com/sanmusunrise/ARNs>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### KBP17-Best

Precision: 76.2. Result ID: 698ffd3a3a6c314849fd4a39.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dfa1e209131cea3d1ea.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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