← Aspect-Based Sentiment Analysis (ABSA)

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ASQP

아카이브 평가 12건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
MvP (multi-task)	F1 (R15) 52.21 F1 (R16) 58.94	MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction 2023-05-22	코드 1
MvP	F1 (R15) 51.04 F1 (R16) 60.39	MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction 2023-05-22	코드 1
AugABSA	F1 (R15) 50.01 F1 (R16) 60.88	Generative Data Augmentation for Aspect Sentiment Quad Prediction 2023-07-01	코드 1
DLO	F1 (R15) 48.18 F1 (R16) 59.79	Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation 2022-10-19	코드 1
Paraphrase	F1 (R15) 46.93 F1 (R16) 57.93	Aspect Sentiment Quad Prediction as Paraphrase Generation 2021-10-02	코드 1
LEGO-ABSA (multi-task)	F1 (R15) 46.10 F1 (R16) 57.60	LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis 논문 날짜 미기재	연결 없음
GAS	F1 (R15) 45.98 F1 (R16) 56.03	Towards Generative Aspect-Based Sentiment Analysis 2021-08-01	코드 1
Gemma-3-27B (50-shot, self-consistency learning)	F1 (R15) 41.74 F1 (R16) 51.54	Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction 2025-02-18	코드 1
Gemma-3-27B (10-shot, self-consistency learning)	F1 (R15) 39.95 F1 (R16) 46.23	Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction 2025-02-18	코드 1
TAS-BRET	F1 (R15) 34.78 F1 (R16) 43.71	Aspect Sentiment Quad Prediction as Paraphrase Generation 2021-10-02	코드 1
ChatGPT (gpt-3.5-turbo, few-shot)	F1 (R15) 34.27	MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction 2023-05-22	코드 1
ChatGPT (gpt-3.5-turbo, zero-shot)	F1 (R15) 22.87	MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction 2023-05-22	코드 1