# Sarcasm Detection on FigLang Reddit

Source: [Sarcasm Detection on FigLang Reddit](<https://www.sota2.com/research/sota/sarcasm-detection-on-figlang-reddit>)

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

Data updated: 2026-02-26T05:58:22.161Z

Evaluation of Sarcasm Detection performance using the FigLang Reddit dataset, measured by Precision, Recall, and 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 | Sarcasm Detection |
| Dataset (including any stated split) | FigLang Reddit |
| Metric | Precision |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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/sarcasm-detection-on-figlang-reddit.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/sarcasm-detection-on-figlang-reddit.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/sarcasm-detection-on-figlang-reddit.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| BERT | 72.3 | Not recorded | 68fa6da61e209131cea3b29a |
| Hyphen-hyperbolic | 71.2 | Not recorded | 68fa6da61e209131cea3b29a |
| Hyphen-euclidean | 70.7 | Not recorded | 68fa6da61e209131cea3b29a |
| RoBERTa | 69.1 | Not recorded | 68fa6da61e209131cea3b29a |
| SOTA-3 | 67.9 | Not recorded | 68fa6da61e209131cea3b29a |
| SOTA-2 | 67.2 | Not recorded | 68fa6da61e209131cea3b29a |
| HAN | 67.1 | Not recorded | 68fa6da61e209131cea3b29a |
| dEFEND | 63.9 | Not recorded | 68fa6da61e209131cea3b29a |
| SOTA-1 | 59.5 | Not recorded | 68fa6da61e209131cea3b29a |

### BERT

Precision: 72.3. Result ID: 698fb4733a6c314849fb418d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

Recorded evaluation configuration: {"baseline\_type":"Generic neural"}. This record does not assert independent reproduction.

### Hyphen-hyperbolic

Precision: 71.2. Result ID: 698fb4733a6c314849fb4190.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

[Implementation](<https://github.com/LCS2-IIITD/Hyphen>)

Recorded evaluation configuration: {"manifold":"Hyperbolic"}. This record does not assert independent reproduction.

### Hyphen-euclidean

Precision: 70.7. Result ID: 698fb4733a6c314849fb418f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

[Implementation](<https://github.com/LCS2-IIITD/Hyphen>)

Recorded evaluation configuration: {"manifold":"Euclidean"}. This record does not assert independent reproduction.

### RoBERTa

Precision: 69.1. Result ID: 698fb4733a6c314849fb418e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66131e209131cea0e18b.md>)

[Implementation](<https://github.com/pytorch/fairseq>)

Recorded evaluation configuration: {"baseline\_type":"Generic neural"}. This record does not assert independent reproduction.

### SOTA-3

Precision: 67.9. Result ID: 698fb4733a6c314849fb418a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

Recorded evaluation configuration: {"baseline\_type":"Data-specific"}. This record does not assert independent reproduction.

### SOTA-2

Precision: 67.2. Result ID: 698fb4733a6c314849fb4189.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

Recorded evaluation configuration: {"baseline\_type":"Data-specific"}. This record does not assert independent reproduction.

### HAN

Precision: 67.1. Result ID: 698fb4733a6c314849fb418b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

Recorded evaluation configuration: {"baseline\_type":"Generic neural"}. This record does not assert independent reproduction.

### dEFEND

Precision: 63.9. Result ID: 698fb4733a6c314849fb418c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

Recorded evaluation configuration: {"baseline\_type":"Generic neural"}. This record does not assert independent reproduction.

### SOTA-1

Precision: 59.5. Result ID: 698fb4733a6c314849fb4188.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6da61e209131cea3b29a.md>)

Recorded evaluation configuration: {"baseline\_type":"Data-specific"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.