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Learning Disentangled Representations of Negation and Uncertainty ...
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Abstract:
Negation and uncertainty modeling are long-standing tasks in natural language processing. Linguistic theory postulates that expressions of negation and uncertainty are semantically independent from each other and the content they modify. However, previous works on representation learning do not explicitly model this independence. We therefore attempt to disentangle the representations of negation, uncertainty, and content using a Variational Autoencoder. We find that simply supervising the latent representations results in good disentanglement, but auxiliary objectives based on adversarial learning and mutual information minimization can provide additional disentanglement gains. ... : Accepted to ACL 2022. 18 pages, 7 figures. Code and data are available at https://github.com/jvasilakes/disentanglement-vae ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.2204.00511 https://arxiv.org/abs/2204.00511
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Natural language processing applied to mental illness detection: a narrative review
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In: NPJ Digit Med (2022)
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Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
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In: Proceedings of the 20th Workshop on Biomedical Language Processing (2021)
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BioVAE: a pre-trained latent variable language model for biomedical text mining
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In: Bioinformatics (2021)
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Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks ...
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Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ...
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Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
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Identification of research hypotheses and new knowledge from scientific literature ...
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Identification of research hypotheses and new knowledge from scientific literature ...
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Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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Distributed Document and Phrase Co-embeddings for Descriptive Clustering
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