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1
Learning Disentangled Representations of Negation and Uncertainty ...
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2
Natural language processing applied to mental illness detection: a narrative review
In: NPJ Digit Med (2022)
Abstract: Mental illness is highly prevalent nowadays, constituting a major cause of distress in people’s life with impact on society’s health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors and a variety of socioeconomic, clinical associations. In order to capture these complex associations expressed in a wide variety of textual data, including social media posts, interviews, and clinical notes, natural language processing (NLP) methods demonstrate promising improvements to empower proactive mental healthcare and assist early diagnosis. We provide a narrative review of mental illness detection using NLP in the past decade, to understand methods, trends, challenges and future directions. A total of 399 studies from 10,467 records were included. The review reveals that there is an upward trend in mental illness detection NLP research. Deep learning methods receive more attention and perform better than traditional machine learning methods. We also provide some recommendations for future studies, including the development of novel detection methods, deep learning paradigms and interpretable models.
Keyword: Review Article
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993841/
https://doi.org/10.1038/s41746-022-00589-7
http://www.ncbi.nlm.nih.gov/pubmed/35396451
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3
Investigating Text Simplification Evaluation ...
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4
Investigating Text Simplification Evaluation ...
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5
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
In: Proceedings of the 20th Workshop on Biomedical Language Processing (2021)
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6
BioVAE: a pre-trained latent variable language model for biomedical text mining
In: Bioinformatics (2021)
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7
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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8
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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9
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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10
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks ...
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11
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ...
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12
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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13
Improving reference prioritisation with PICO recognition
Brockmeier, Austin J.; Ju, Meizhi; Przybyła, Piotr. - : BioMed Central, 2019
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14
Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
Wang, Yifei; Ananiadou, Sophia; Tsujii, Jun’ichi. - : BioMed Central, 2019
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15
Identification of research hypotheses and new knowledge from scientific literature ...
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16
Identification of research hypotheses and new knowledge from scientific literature ...
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17
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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18
Constructing a biodiversity terminological inventory
Nguyen, Nhung T. H.; Soto, Axel J.; Kontonatsios, Georgios. - : Public Library of Science, 2017
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19
Distributed Document and Phrase Co-embeddings for Descriptive Clustering
Kontonatsios, Georgios; Sato, Motoki; Mu, Tingting. - : Association for Computational Linguistics, 2017
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20
Enriching news events with meta-knowledge information [<Journal>]
Thompson, Paul [Verfasser]; Nawaz, Raheel [Sonstige]; McNaught, John [Sonstige].
DNB Subject Category Language
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