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CrossRef Text and Data Mining |
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Improving accessibility and distinction between negative results in biomedical relation extraction |
Diana Sousa, Andre Lamurias, Francisco M. Couto |
Genomics Inform. 2020;18(2):e20 Published online June 15, 2020 DOI: https://doi.org/10.5808/GI.2020.18.2.e20 |
Improving accessibility and distinction between negative results in biomedical relation extraction Investigation of Improving The Pre-Training And Fine-Tuning of BERT Model For Biomedical Relation Extraction Discussion:The distinction between one-one relation and one-many relation Negation-based transfer learning for improving biomedical Named Entity Recognition and Relation Extraction Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction Relation extraction between bacteria and biotopes from biomedical texts with attention mechanisms and domain-specific contextual representations The Elusive Distinction Between Negative and Positive Rights Distinction between positive and negative schizophrenia in the light of psychophysiological measurements No Relation Between Social Media Use During Teacher-Supervised Activities and Exam Results in Students Medicine and Biomedical Sciences Reviving the Distinction between Positive and Negative Human Rights |