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Locally Embedding Autoencoders: A Semi-Supervised Manifold Learning Approach of Document Representation
Topic models and neural networks can discover meaningful low-dimensional latent representations of text corpora; as such, they have become a key technology of document representation. However, such models presume all documents are non-discriminatory, resulting in latent representation dependent upon...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718658/ https://www.ncbi.nlm.nih.gov/pubmed/26784692 http://dx.doi.org/10.1371/journal.pone.0146672 |