Experiments with learning graphical models on text
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DOI: 10.1007/s41237-018-0050-3
Abstract: A rich variety of models are now in use for unsupervised modelling of text documents, and, in particular, a rich variety of graphical models exist, with and without latent variables. To date, there is inadequate… read more here.
Keywords: models text; experiments learning; matrix factorisation; learning graphical ... See more keywords
A Unified Understanding of Deep NLP Models for Text Classification
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DOI: 10.1109/tvcg.2022.3184186
Abstract: The rapid development of deep natural language processing (NLP) models for text classification has led to an urgent need for a unified understanding of these models proposed individually. Existing methods cannot meet the need for… read more here.
Keywords: models text; unified understanding; level; nlp models ... See more keywords