HyperAI
HyperAI초신경
홈
플랫폼
문서
뉴스
연구 논문
튜토리얼
데이터셋
백과사전
SOTA
LLM 모델
GPU 랭킹
컨퍼런스
전체 검색
소개
서비스 약관
개인정보 처리방침
한국어
HyperAI
HyperAI초신경
Toggle Sidebar
전체 사이트 검색...
⌘
K
Command Palette
Search for a command to run...
플랫폼
홈
SOTA
감성 분석
Sentiment Analysis On Semeval 2014 Task 4
Sentiment Analysis On Semeval 2014 Task 4
평가 지표
F1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
F1
Paper Title
InstructABSA
79.34
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
GRACE
70.71
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis
SPAN
68.06
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification
RACL-BERT
63.4
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis
BERT-E2E-ABSA
61.12
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
DOER
60.35
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
IMN
58.37
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
E2E-TBSA
57.9
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
0 of 8 row(s) selected.
Previous
Next
Sentiment Analysis On Semeval 2014 Task 4 | SOTA | HyperAI초신경