List your company
ResearchFormerly WizWand

Target Aspect Sentiment Detection on Rest 2016

72.76F1 ScoreMVP
4.01621.86339.7157.557Oct 2, 2021Jun 27, 2022Mar 23, 2023Dec 17, 2023Sep 10, 2024Jun 6, 2025Mar 2, 2026
Updated 8mo ago

Evaluation results

MethodLinks
MVPData=full-data2023.0572.76
PARAPHRASE2021.1071.97
ParaphraseScenario=Full human set, # Train=full2026.0371.97
DLOScenario=Full human set, # Train=full2026.0371.79
Gemma-3-27B ICLScenario=50 annotated examples, # Train=502026.0368.53
MVP (transfer)Data=few-shot2023.0568.49
GAS2021.1068.31
MEJD2021.1067.66
Gemma-3-27B ICLScenario=10 annotated examples, # Train=102026.0366.75
TAS-CRF2021.1065.89
TAS-TO2021.1065.44
LA-ABSA w/ ParaphraseScenario=10 annotated examples, # Train=full2026.0362.74
LA-ABSA w/ DLOScenario=10 annotated examples, # Train=full2026.0362.37
LA-ABSA w/ ParaphraseScenario=50 annotated examples, # Train=full2026.0362.2
LA-ABSA w/ DLOScenario=50 annotated examples, # Train=full2026.0362.03
LA-ABSA w/ ParaphraseScenario=0 annotated examples, # Train=full2026.0347.73
LA-ABSA w/ DLOScenario=0 annotated examples, # Train=full2026.0347.41
ChatGPTData=few-shot2023.0546.51
EDAScenario=50 annotated examples, # Train=5502026.0345.72
Gemma-3-27B (0-shot)Scenario=0 annotated examples, # Train=02026.0345.51
QAIEScenario=50 annotated examples, # Train=141.82026.0345.09
DLOScenario=50 annotated examples, # Train=502026.0343.95
DS²-ABSAScenario=50 annotated examples, # Train=21,7k2026.0343.53
Brun and Nikoulina2021.1038.1
ParaphraseScenario=50 annotated examples, # Train=502026.0335.87
ChatGPTData=zero-shot2023.0534.08
DS²-ABSAScenario=10 annotated examples, # Train=21,1k2026.0332.09
EDAScenario=10 annotated examples, # Train=19.162026.0319.16
DLOScenario=10 annotated examples, # Train=102026.0313.59
QAIEScenario=10 annotated examples, # Train=12.372026.0312.37
ParaphraseScenario=10 annotated examples, # Train=102026.036.66