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Models/JoSH

JoSH

Reported on 12 benchmarks across 3 tasks · 1 paper · 12 SOTA

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

Natural Language Processing8 results

Text ClassificationonArxiv HEP-TH citation graph
MACC· 2020-07-18
83.24
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536
Text ClassificationonArxiv HEP-TH citation graph
Topic coherence@5· 2020-07-18
0.0074
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536
Text ClassificationonNYT
MACC· 2020-07-18
90.91
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536
Text ClassificationonNYT
Topic coherence@5· 2020-07-18
0.0166
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536
Topic ModelsonArxiv HEP-TH citation graph
MACC· 2020-07-18
83.24
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536
Topic ModelsonArxiv HEP-TH citation graph
Topic coherence@5· 2020-07-18
0.0074
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536
Topic ModelsonNYT
MACC· 2020-07-18
90.91
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536
Topic ModelsonNYT
Topic coherence@5· 2020-07-18
0.0166
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536

Methodology4 results

ClassificationonArxiv HEP-TH citation graph
MACC· 2020-07-18
83.24
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536
ClassificationonArxiv HEP-TH citation graph
Topic coherence@5· 2020-07-18
0.0074
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536
ClassificationonNYT
MACC· 2020-07-18
90.91
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536
ClassificationonNYT
Topic coherence@5· 2020-07-18
0.0166
SOTA
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding arXiv:2007.09536