Topic Modeling in Embedding Spaces is a research paper published in Transactions of the Association for Computational Linguistics (2020). On theSindex it has a DataRank of 0. It has been cited 18 times.
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National Science Foundation
Grant: 1740833
TRIPODS: From Foundations to Practice of Data Science and Back
National Institutes of Health
Grant: 1U01MH115727-01
Genetic neuroscience: How human genes and alleles shape neuronal phenotypes
European Commission
Grant: 706760
Probabilistic modelling of electronic health records
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 1 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 2 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 2 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 3 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 3 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 4 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 4 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 5 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 5 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 6 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Additional file 6 of SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Portuguese Far-Right Discourse on Social Media: Insights from Topic Modeling