← Aspect-Based Sentiment Analysis (ABSA)
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TASD

아카이브 평가 11건 · 마지막 적재/변경

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
모델원본 지표·값논문구현
MvP (multi-task)
F1 (R15)
64.74
F1 (R16)
70.18
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
2023-05-22
코드 1
MvP
F1 (R15)
64.53
F1 (R16)
72.76
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
2023-05-22
코드 1
Paraphrase
F1 (R15)
63.06
F1 (R16)
71.97
Aspect Sentiment Quad Prediction as Paraphrase Generation
2021-10-02
코드 1
DLO
F1 (R15)
62.95
F1 (R16)
71.79
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
2022-10-19
코드 1
LEGO-ABSA (multi-task)
F1 (R15)
62.30
F1 (R16)
71.80
LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis
논문 날짜 미기재
연결 없음
Gemma-3-27B (50-shot, self-consistency learning)
F1 (R15)
62.12
F1 (R16)
68.53
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction
2025-02-18
코드 1
GAS
F1 (R15)
60.63
F1 (R16)
68.31
Towards Generative Aspect-Based Sentiment Analysis
2021-08-01
코드 1
TAS-BERT
F1 (R15)
57.51
F1 (R16)
65.89
Aspect Sentiment Quad Prediction as Paraphrase Generation
2021-10-02
코드 1
Gemma-3-27B (10-shot, self-consistency learning)
F1 (R15)
54.37
F1 (R16)
66.75
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction
2025-02-18
코드 1
ChatGPT (gpt-3.5-turbo, few-shot)
F1 (R16)
46.51
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
2023-05-22
코드 1
ChatGPT (gpt-3.5-turbo, zero-shot)
F1 (R16)
34.08
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
2023-05-22
코드 1