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SotA/Natural Language Processing/Sentiment Analysis/ASQP

Sentiment Analysis on ASQP

Metric: F1 (R15) (higher is better)

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#Model↕F1 (R15)▼Extra DataPaperDate↕Code
1MvP (multi-task)52.21YesMvP: Multi-view Prompting Improves Aspect Sentim...2023-05-22Code
2MvP51.04NoMvP: Multi-view Prompting Improves Aspect Sentim...2023-05-22Code
3AugABSA50.01No--Code
4DLO48.18NoImproving Aspect Sentiment Quad Prediction via T...2022-10-19Code
5Paraphrase46.93NoAspect Sentiment Quad Prediction as Paraphrase G...2021-10-02Code
6LEGO-ABSA (multi-task)46.1Yes---
7GAS45.98No--Code
8Gemma-3-27B (50-shot, self-consistency learning)41.74NoDo we still need Human Annotators? Prompting Lar...2025-02-18Code
9Gemma-3-27B (10-shot, self-consistency learning)39.95NoDo we still need Human Annotators? Prompting Lar...2025-02-18Code
10TAS-BRET34.78NoAspect Sentiment Quad Prediction as Paraphrase G...2021-10-02Code
11ChatGPT (gpt-3.5-turbo, few-shot)34.27NoMvP: Multi-view Prompting Improves Aspect Sentim...2023-05-22Code
12ChatGPT (gpt-3.5-turbo, zero-shot)22.87NoMvP: Multi-view Prompting Improves Aspect Sentim...2023-05-22Code