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SotA/Natural Language Processing/Aspect-Based Sentiment Analysis (ABSA)/TASD

Aspect-Based Sentiment Analysis (ABSA) on TASD

Metric: F1 (R16) (higher is better)

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#Model↕F1 (R16)▼Extra DataPaperDate↕Code
1MvP72.76NoMvP: Multi-view Prompting Improves Aspect Sentim...2023-05-22Code
2Paraphrase71.97NoAspect Sentiment Quad Prediction as Paraphrase G...2021-10-02Code
3LEGO-ABSA (multi-task)71.8Yes---
4DLO71.79NoImproving Aspect Sentiment Quad Prediction via T...2022-10-19Code
5MvP (multi-task)70.18YesMvP: Multi-view Prompting Improves Aspect Sentim...2023-05-22Code
6Gemma-3-27B (50-shot, self-consistency learning)68.53NoDo we still need Human Annotators? Prompting Lar...2025-02-18Code
7GAS68.31No--Code
8Gemma-3-27B (10-shot, self-consistency learning)66.75NoDo we still need Human Annotators? Prompting Lar...2025-02-18Code
9TAS-BERT65.89NoAspect Sentiment Quad Prediction as Paraphrase G...2021-10-02Code
10ChatGPT (gpt-3.5-turbo, few-shot)46.51NoMvP: Multi-view Prompting Improves Aspect Sentim...2023-05-22Code
11ChatGPT (gpt-3.5-turbo, zero-shot)34.08NoMvP: Multi-view Prompting Improves Aspect Sentim...2023-05-22Code