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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 no: | Proc Conf Empir Methods Nat Lang Process |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | 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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