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ResearchFormerly WizWand

Ontology Classification on DBpedia (test)

99.2AccuracyMixText†
90.192.462594.82597.1875May 24, 2018Jul 26, 2019Sep 26, 2020Nov 28, 2021Jan 30, 2023Apr 2, 2024Jun 4, 2025
Updated 8mo ago

Evaluation results

MethodLinks
MixText†Train size=35K, unlabeled data=70K2021.0599.2
OoMMixTrain size=35K2021.0599.03
EXAMModel Type=Word-based2018.1199
TMix†Train size=35K2021.0599
TMixTrain size=35K2021.0598.97
OriginalTrain size=35K2021.0598.96
mixup-transformerTrain size=35K2021.0598.91
W.C RegionEmbModel Type=Word-based2018.1198.9
MixText†Train size=2.8K, unlabeled data=70K2021.0598.9
NonlinearMixTrain size=35K2021.0598.89
OriginalTrain size=2.8K2021.0598.83
OoMMixTrain size=2.8K2021.0598.83
TMixTrain size=2.8K2021.0598.82
SFTSLM Backbone=RoBERTa-Base2025.0698.78
mixup-transformerTrain size=2.8K2021.0598.76
NonlinearMixTrain size=2.8K2021.0598.74
CanDistaddLLM Annotator=GPT-3.5, SLM Backbone=RoBERTa-Base2025.0698.72
Deep CNNlayers=292018.0598.71
N-grams TFIDFModel Type=Feature Engineering2018.1198.7
VDCNNModel Type=Character-based2018.1198.7
TMix†Train size=2.8K2021.0598.7
CanDistallLLM Annotator=GPT-3.5, SLM Backbone=RoBERTa-Base2025.0698.65
fastText (bigram)features=bigram2018.0598.6
N-gramsModel Type=Feature Engineering2018.1198.6
Char-CRNNModel Type=Character-based2018.1198.6
LSTMModel Type=Word-based2018.1198.6
Bigram-FastTextModel Type=Word-based2018.1198.6
SWEM-concat2018.0598.57
LSTM2018.0598.55
SWEM-hier2018.0598.54
SWEM-aver2018.0598.42
Char-CNNModel Type=Character-based2018.1198.3
Large word CNNModel Type=Word-based2018.1198.3
Large word CNN2018.0598.28
OoMMixTrain size=0.5K2021.0598.26
SWEM-max2018.0598.24
Small word CNNModel Type=Word-based2018.1198.2
Small word CNN2018.0598.15
TMixTrain size=0.5K2021.0598.15
fastText2018.0598.1
mixup-transformerTrain size=0.5K2021.0598.06
FreeALLLM Annotator=GPT-3.5, SLM Backbone=RoBERTa-Base2025.0697.92
OriginalTrain size=0.5K2021.0597.86
SuperICLLLM Annotator=GPT-3.5, SLM Backbone=RoBERTa-Base2025.0697.63
DistillationLLM Annotator=GPT-3.5, SLM Backbone=RoBERTa-Base2025.0697.61
NonlinearMixTrain size=0.5K2021.0597.5
BoWModel Type=Feature Engineering2018.1196.6
SCLLM Annotator=GPT-3.52025.0695.42
Few-shotLLM Annotator=GPT-3.52025.0695.4
AnnoLLMLLM Annotator=GPT-3.52025.0695.34
Zero-shotLLM Annotator=GPT-3.52025.0693.94
CoTLLM Annotator=GPT-3.52025.0692.44
Bag-of-means2018.0590.45