# Attribute Value Extraction on AE-pub cleaned (test)

Source: [Attribute Value Extraction on AE-pub cleaned (test)](<https://www.sota2.com/research/sota/attribute-value-extraction-on-ae-pub-cleaned-test>)

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

Data updated: 2026-02-26T05:51:33.137Z

Evaluation of Attribute Value Extraction performance on the test split of the AE-pub cleaned dataset, reporting Macro and Micro 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 | Attribute Value Extraction |
| Dataset (including any stated split) | AE-pub cleaned (test) |
| Metric | Macro Precision |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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

- [Macro Precision](<https://www.sota2.com/research/sota/attribute-value-extraction-on-ae-pub-cleaned-test.md?metric=Macro%20Precision>): Higher is better; unit: PERCENT.

- [Macro Recall](<https://www.sota2.com/research/sota/attribute-value-extraction-on-ae-pub-cleaned-test.md?metric=Macro%20Recall>): Higher is better; unit: PERCENT.

- [Macro F1](<https://www.sota2.com/research/sota/attribute-value-extraction-on-ae-pub-cleaned-test.md?metric=Macro%20F1>): Higher is better; unit: PERCENT.

- [Micro Precision](<https://www.sota2.com/research/sota/attribute-value-extraction-on-ae-pub-cleaned-test.md?metric=Micro%20Precision>): Higher is better; unit: PERCENT.

- [Micro Recall](<https://www.sota2.com/research/sota/attribute-value-extraction-on-ae-pub-cleaned-test.md?metric=Micro%20Recall>): Higher is better; unit: PERCENT.

- [Micro F1](<https://www.sota2.com/research/sota/attribute-value-extraction-on-ae-pub-cleaned-test.md?metric=Micro%20F1>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Macro Precision | Result date | Report paper |
| --- | --- | --- | --- |
| BERT-QA +vals +drop +mixing | 47.74 | Not recorded | 68fa6ce61e209131cea369fa |
| BERT-QA +vals +mixing | 46.67 | Not recorded | 68fa6ce61e209131cea369fa |
| BERT-QA | 42.77 | Not recorded | 68fa6ce61e209131cea369fa |
| AVEQA | 41.93 | Not recorded | 68fa6ce61e209131cea369fa |
| BERT-QA +vals +drop | 41.61 | Not recorded | 68fa6ce61e209131cea369fa |
| BERT-QA +vals | 39.48 | Not recorded | 68fa6ce61e209131cea369fa |
| Dictionary | 33.2 | Not recorded | 68fa6ce61e209131cea369fa |
| SUOpenTag | 30.92 | Not recorded | 68fa6ce61e209131cea369fa |

### BERT-QA +vals +drop +mixing

Macro Precision: 47.74. Result ID: 698f4b653a6c314849f7bc65.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

[Implementation](<http://www.tkl.iis.u-tokyo.ac.jp/~ynaga/acl2022/>)

Recorded evaluation configuration: {"Model variant/components":"Knowledge-driven query expansion + Knowledge dropout + Knowledge token mixing","Pre-trained backbone":"BERT-base","Number of trials":"5"}. This record does not assert independent reproduction.

### BERT-QA +vals +mixing

Macro Precision: 46.67. Result ID: 698f4b653a6c314849f7bc64.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

[Implementation](<http://www.tkl.iis.u-tokyo.ac.jp/~ynaga/acl2022/>)

Recorded evaluation configuration: {"Model variant/components":"Knowledge-driven query expansion + Knowledge token mixing","Pre-trained backbone":"BERT-base","Number of trials":"5"}. This record does not assert independent reproduction.

### BERT-QA

Macro Precision: 42.77. Result ID: 698f4b653a6c314849f7bc61.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

Recorded evaluation configuration: {"Pre-trained backbone":"BERT-base","Number of trials":"5"}. This record does not assert independent reproduction.

### AVEQA

Macro Precision: 41.93. Result ID: 698f4b653a6c314849f7bc60.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

Recorded evaluation configuration: {"Number of trials":"5"}. This record does not assert independent reproduction.

### BERT-QA +vals +drop

Macro Precision: 41.61. Result ID: 698f4b653a6c314849f7bc63.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

[Implementation](<http://www.tkl.iis.u-tokyo.ac.jp/~ynaga/acl2022/>)

Recorded evaluation configuration: {"Model variant/components":"Knowledge-driven query expansion + Knowledge dropout","Pre-trained backbone":"BERT-base","Number of trials":"5"}. This record does not assert independent reproduction.

### BERT-QA +vals

Macro Precision: 39.48. Result ID: 698f4b653a6c314849f7bc62.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

[Implementation](<http://www.tkl.iis.u-tokyo.ac.jp/~ynaga/acl2022/>)

Recorded evaluation configuration: {"Model variant/components":"Knowledge-driven query expansion","Pre-trained backbone":"BERT-base","Number of trials":"5"}. This record does not assert independent reproduction.

### Dictionary

Macro Precision: 33.2. Result ID: 698f4b653a6c314849f7bc5e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

Recorded evaluation configuration: {"Number of trials":"5"}. This record does not assert independent reproduction.

### SUOpenTag

Macro Precision: 30.92. Result ID: 698f4b653a6c314849f7bc5f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ce61e209131cea369fa.md>)

Recorded evaluation configuration: {"Number of trials":"5"}. This record does not assert independent reproduction.

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