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Topic Classification on DBPedia (test)

96.46AccuracyManualVerb
16.629637.354858.0878.8052Mar 18, 2022Aug 25, 2022Feb 2, 2023Jul 12, 2023Dec 20, 2023May 28, 2024Nov 5, 2024

Evaluation results

MethodLinks
ManualVerbshots (K)=8, task-specific knowledge=true2022.0396.46———
ProtoVerbshots (K)=16, task-specific knowledge=false2022.0396.3———
ManualVerbshots (K)=16, task-specific knowledge=true2022.0396.05———
ManualVerbshots (K)=4, task-specific knowledge=true2022.0395.83———
ProtoVerbshots (K)=8, task-specific knowledge=false2022.0395.75———
ConCModel=Llama-2 13B, Shots=42024.1195.3——3.8
LinCModel=Llama-2 13B, Shots=42024.1195.3——3.8
LinC+HBTVAModel=Llama-2 13B, Shots=42024.1195.3——2.2
LinCModel=Llama-2 13B, Shots=82024.1195.3——3.9
LinC+HBTVAModel=Llama-2 13B, Shots=82024.1195.3——2.1
UncalibratedModel=Llama-2 13B, Shots=82024.1194.7——5.9
LinCModel=GPT-J 6B, Shots=42024.1194.3——5.7
LinC+HBTVAModel=GPT-J 6B, Shots=42024.1194.3——4.8
ConCModel=Llama-2 13B, Shots=82024.1194.3——3.9
ConCModel=GPT-J 6B, Shots=42024.1194——6.9
UncalibratedModel=Llama-2 13B, Shots=42024.1194——9.9
LinCModel=GPT-J 6B, Shots=82024.1193.9——5.8
LinC+HBTVAModel=GPT-J 6B, Shots=82024.1193.9——2.6
SoftVerbshots (K)=8, task-specific knowledge=false2022.0393.69———
ManualVerbshots (K)=2, task-specific knowledge=true2022.0393.61———
LinCModel=Llama-2 13B, Shots=12024.1193.1——4.4
LinC+HBTVAModel=Llama-2 13B, Shots=12024.1193.1——3
UncalibratedModel=GPT-J 6B, Shots=82024.1192.3——9.2
ConCModel=Llama-2 13B, Shots=12024.1192.3——5.2
NLI-STLearning Paradigm=Reference, Use auxiliary labeled data=true, Use task-specific corpus=true2023.0592.2———
SearchVerbshots (K)=16, task-specific knowledge=false2022.0392———
ConCModel=GPT-J 6B, Shots=82024.1192——6.8
X-ClassLearning Paradigm=Reference, Use task-specific corpus=true2023.0591.3———
LOTClassLearning Paradigm=Reference, Use task-specific corpus=true2023.0591.1———
ProtoVerbshots (K)=4, task-specific knowledge=false2022.0390.91———
UncalibratedModel=Llama-2 13B, Shots=12024.1190.7——11.4
SoftVerbshots (K)=4, task-specific knowledge=false2022.0389.12———
UncalibratedModel=GPT-J 6B, Shots=42024.1189——15.7
SearchVerbshots (K)=8, task-specific knowledge=false2022.0388.41———
REGENLearning Paradigm=Zero-shot Learning via Generating Task-specific Datasets, Standard Deviation=0.92023.0587.6———
SoftVerbshots (K)=16, task-specific knowledge=false2022.0386.9———
SearchVerbshots (K)=4, task-specific knowledge=false2022.0386.4———
ProtoVerbshots (K)=2, task-specific knowledge=false2022.0385.49———
ManualVerbshots (K)=1, task-specific knowledge=true2022.0385.47———
LinCModel=GPT-J 6B, Shots=12024.1184.4——6.6
LinC+HBTVAModel=GPT-J 6B, Shots=12024.1184.4——5.1
LinCModel=Llama-2 13B, Shots=02024.1184.4——16.2
LinC+HBTVAModel=Llama-2 13B, Shots=02024.1184.4——4.1
ConCModel=GPT-J 6B, Shots=12024.1182.7——6.9
KPTLearning Paradigm=Reference, Use task-specific corpus=true, Use additional knowledge base=true2023.0582.2———
Mining (Re-implementation)Learning Paradigm=Zero-shot Learning via Generating Task-specific Datasets, Concurrent Work=true, Fair Comparison Setup=true, Standard Deviation=0.62023.0582.1———
SoftVerbshots (K)=2, task-specific knowledge=false2022.0380.69———
SearchVerbshots (K)=2, task-specific knowledge=false2022.0378.21———
ConCModel=Llama-2 13B, Shots=02024.1175.3——17.2
TE-NLI (Best)Learning Paradigm=Labeled data usage, Use auxiliary labeled data=true2023.0573———
ProtoVerbshots (K)=1, task-specific knowledge=false2022.0372.85———
PromptLearning Paradigm=Zero-shot Learning via Direct Inferencing2023.0571.3———
NSP-BERTLearning Paradigm=Zero-shot Learning via Direct Inferencing2023.0569.4———
ManualVerbshots (K)=0, task-specific knowledge=true2022.0367.06———
SuperGenLearning Paradigm=Zero-shot Learning via Generating Task-specific Datasets, Standard Deviation=2.02023.0566.5———
SoftVerbshots (K)=1, task-specific knowledge=false2022.0365.35———
LinCModel=GPT-J 6B, Shots=02024.1162.2——12.8
LinC+HBTVAModel=GPT-J 6B, Shots=02024.1162.2——5.7
SearchVerbshots (K)=1, task-specific knowledge=false2022.0360.06———
GPT-3Learning Paradigm=Zero-shot Learning via Direct Inferencing, Billion-scale PLM=true2023.0559.7———
UncalibratedModel=GPT-J 6B, Shots=12024.1158.7——14.2
UncalibratedModel=Llama-2 13B, Shots=02024.1154.3——19.7
ConCModel=GPT-J 6B, Shots=02024.1147.7——24.6
UncalibratedModel=GPT-J 6B, Shots=02024.1119.7——27.4
Adversarial2016.05—79——
Bag-of-means2015.09—9.55——
Bag-of-words2016.05—357——
Baselineembedding normalization=false2016.05—87——
Baselineembedding normalization=true2016.05—90——
BoW2015.09—3.39——
BoW TFIDFTF-IDF Weighting=true2015.09—2.63——
char-CNNTraining=Supervised2020.09—1.55——
CNNTraining=Supervised2020.09—0.98——
Conv. (large, Th)Model Size=large, Thesaurus Augmentation=true2015.09—1.6——
Conv. (large)Model Size=large2015.09—1.73——
Conv. (small, Th)Model Size=small, Thesaurus Augmentation=true2015.09—1.85——
Conv. (small)Model Size=small2015.09—1.98——
DocVecTraining=Supervised2020.09—2.34——
FastTextTraining=Supervised2020.09—1.4——
Full Conv. (large, Th)Model Size=large, Case Sensitive=true, Thesaurus Augmentation=true2015.09—1.55——
Full Conv. (large)Model Size=large, Case Sensitive=true2015.09—1.66——
Full Conv. (small, Th)Model Size=small, Case Sensitive=true, Thesaurus Augmentation=true2015.09—1.69——
Full Conv. (small)Model Size=small, Case Sensitive=true2015.09—1.89——
L_MIXEDtraining=semi-supervised, objective=mixed objective function2020.09—0.7——
L_MLTraining=Supervised2020.09—0.91——
Large-CNNgranularity=character-level2016.05—173——
Linear Model (TFIDF + SVM)Training=Supervised2020.09—1.31——
Lk. Conv. (large, Th)Model Size=large, Input Representation=character-level (lookup table), Thesaurus Augmentation=true2015.09—1.58——
Lk. Conv. (large)Model Size=large, Input Representation=character-level (lookup table)2015.09—1.72——
Lk. Conv. (small, Th)Model Size=small, Input Representation=character-level (lookup table), Thesaurus Augmentation=true2015.09—1.77——
Lk. Conv. (small)Model Size=small, Input Representation=character-level (lookup table)2015.09—1.85——
LSTM2015.09—1.45——
LSTMtraining=semi-supervised2020.09—0.76——
N-grams TFIDF2016.05—131——
n-TFIDFAuthor=Zhang2016.06—1.31——
ngrams2015.09—1.37——
ngrams TFIDFTF-IDF Weighting=true2015.09—1.31——
oh-CNNTraining=Supervised2020.09—0.88——
oh-LSTMtraining=semi-supervised2020.09—0.84——
Random perturbation2016.05—85——