# Aspect Extraction on Citysearch 2009 (test)

Source: [Aspect Extraction on Citysearch 2009 (test)](<https://www.sota2.com/research/sota/aspect-extraction-on-citysearch-2009-test>)

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

Data updated: 2026-02-26T05:58:15.796Z

Evaluation of Aspect Extraction performance on the test split of the Citysearch 2009 dataset, typically measured using Precision, Recall, and F-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 | Aspect Extraction |
| Dataset (including any stated split) | Citysearch 2009 (test) |
| Metric | Precision |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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/aspect-extraction-on-citysearch-2009-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/aspect-extraction-on-citysearch-2009-test.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/aspect-extraction-on-citysearch-2009-test.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| ABAE (2017) | 89.4 | Not recorded | 68fa676d1e209131cea16219 |
| CAt | 86.5 | Not recorded | 68fa676d1e209131cea16219 |
| SERBM (2015) | 86 | Not recorded | 68fa676d1e209131cea16219 |
| AE-CSA (2019) | 85.6 | Not recorded | 68fa676d1e209131cea16219 |
| W2VLDA (2018) | 80.8 | Not recorded | 68fa676d1e209131cea16219 |
| Attention | 80.5 | Not recorded | 68fa676d1e209131cea16219 |
| Mean | 78.9 | Not recorded | 68fa676d1e209131cea16219 |

### ABAE (2017)

Precision: 89.4. Result ID: 698d341f8b517eb4331fc579.

[Reporting paper](<https://www.sota2.com/research/paper/68fa676d1e209131cea16219.md>)

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

### CAt

Precision: 86.5. Result ID: 698d341f8b517eb4331fc57e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa676d1e209131cea16219.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa676d1e209131cea16219.md>)

[Implementation](<https://github.com/clips/cat>)

Recorded evaluation configuration: {"full\_name":"Contrastive Attention"}. This record does not assert independent reproduction.

### SERBM (2015)

Precision: 86. Result ID: 698d341f8b517eb4331fc578.

[Reporting paper](<https://www.sota2.com/research/paper/68fa676d1e209131cea16219.md>)

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

### AE-CSA (2019)

Precision: 85.6. Result ID: 698d341f8b517eb4331fc57b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa676d1e209131cea16219.md>)

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

### W2VLDA (2018)

Precision: 80.8. Result ID: 698d341f8b517eb4331fc57a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa676d1e209131cea16219.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63861e209131ce9ff3ef.md>)

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

### Attention

Precision: 80.5. Result ID: 698d341f8b517eb4331fc57d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa676d1e209131cea16219.md>)

Recorded evaluation configuration: {"description":"attention-weighted macro average"}. This record does not assert independent reproduction.

### Mean

Precision: 78.9. Result ID: 698d341f8b517eb4331fc57c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa676d1e209131cea16219.md>)

Recorded evaluation configuration: {"description":"weighted macro average of word vectors"}. This record does not assert independent reproduction.

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