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Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105117
Abstract: BACKGROUND AND OBJECTIVE Capturing the context of text is a challenging task in biomedical text summarization. The objective of this research is to show how contextualized embeddings produced by a deep bidirectional language model can…
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Keywords:
biomedical text;
text summarization;
contextualized embeddings;
text ... See more keywords
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Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac149
Abstract: OBJECTIVE Plain language in medicine has long been advocated as a way to improve patient understanding and engagement. As the field of Natural Language Processing has progressed, increasingly sophisticated methods have been explored for the…
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Keywords:
text simplification;
biomedical text;
text;
simplification ... See more keywords
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Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3056748
Abstract: In this paper, we propose a novel method named Biomedical Confident Itemsets Explanation (BioCIE), aiming at post-hoc explanation of black-box machine learning models for biomedical text classification. Using sources of domain knowledge and a confident…
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Keywords:
text classification;
biomedical text;
box;
black box ... See more keywords
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Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11209648
Abstract: Today, there are excellent resources for the semantic annotation of biomedical text. These resources span from ontologies, tools for NLP, annotators, and web services. Most of these are available either in the form of open…
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Keywords:
text;
biomedical text;
open science;
research objects ... See more keywords