Sarcasm Detection
The goal of Sarcasm Detection is to determine whether a sentence is sarcastic or non-sarcastic. Sarcasm is a type of phenomenon with specific perlocutionary effects on the hearer, such as to break their pattern of expectation. Consequently, correct understanding of sarcasm often requires a deep understanding of multiple sources of information, including the utterance, the conversational context, and, frequently some real world facts.
Papers
Showing 251–266 of 266 papers
All datasetsBIG-bench (SNARKS)FigLang 2020 Reddit DatasetFigLang 2020 Twitter DatasetSARC (all-bal)SARC (pol-bal)iSarcasmMUStARDSARC (pol-unbal)WITS
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | PaLM 2(few-shot, k=3, CoT) | Accuracy | 84.8 | — | Unverified |
| 2 | PaLM 2 (few-shot, k=3, Direct) | Accuracy | 78.7 | — | Unverified |
| 3 | PaLM 540B (few-shot, k=3) | Accuracy | 78.1 | — | Unverified |
| 4 | BLOOM 176B (few-shot, k=3) | Accuracy | 72.47 | — | Unverified |
| 5 | Bloomberg GPT (few-shot, k=3) | Accuracy | 69.66 | — | Unverified |
| 6 | GPT-NeoX (few-shot, k=3) | Accuracy | 62.36 | — | Unverified |
| 7 | Chinchilla-70B (few-shot, k=5) | Accuracy | 58.6 | — | Unverified |
| 8 | Gopher-280B (few-shot, k=5) | Accuracy | 48.3 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | BERT+Aspect-based approaches | F1 | 0.74 | — | Unverified |
| 2 | RoBERTa_large - (Separated Context-Response) | F1 | 0.72 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | RoBERTa_large (Context-Response) | F1 | 0.77 | — | Unverified |
| 2 | BERT | F1 | 0.73 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CASCADE | Accuracy | 77 | — | Unverified |
| 2 | Bag-of-Bigrams | Accuracy | 75.8 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Bag-of-Bigrams | Accuracy | 76.5 | — | Unverified |
| 2 | CASCADE | Accuracy | 74 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | RoBERTa + Mutation Data Augmentation | F1-Score | 0.41 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | MUStARD++ | Precision | 70.2 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Bag-of-Words | Avg F1 | 27 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | BART | R1 | 36.88 | — | Unverified |