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Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
We propose a method for learning disentangled representations of texts that code for distinct and complementary aspects, with the aim of affording efficient model transfer and interpretability. To induce disentangled embeddings, we propose an adversarial objective based on the (dis)similarity betwee...
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| Publicado en: | Proc Conf Empir Methods Nat Lang Process |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8136418/ https://ncbi.nlm.nih.gov/pubmed/34027519 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18653/v1/d18-1497 |
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