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Models/Lbl2Vec

Lbl2Vec

Reported on 6 benchmarks across 2 tasks · 2 papers · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing3 results

Text Classificationon20NewsGroups
F1-score· 2022-10-12
75.1
best: 6469 (Lbl2TransformerVec)
SOTA
Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics arXiv:2210.06023
Text ClassificationonAG News
F1 score· 2022-10-12
82.7
SOTA
Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics arXiv:2210.06023
Text ClassificationonMedical Abstracts
F1-score· 2022-11-29
43.03
best: 56.46 (Lbl2TransformerVec)
Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches arXiv:2211.16285

Methodology3 results

Classificationon20NewsGroups
F1-score· 2022-10-12
75.1
best: 6469 (Lbl2TransformerVec)
SOTA
Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics arXiv:2210.06023
ClassificationonAG News
F1 score· 2022-10-12
82.7
SOTA
Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics arXiv:2210.06023
ClassificationonMedical Abstracts
F1-score· 2022-11-29
43.03
best: 56.46 (Lbl2TransformerVec)
Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches arXiv:2211.16285